## Loading required package: idem
## Loading required package: Rcpp
## Loading required package: rstan
## Loading required package: ggplot2
## Loading required package: StanHeaders
## rstan (Version 2.15.1, packaged: 2017-04-19 05:03:57 UTC, GitRev: 2e1f913d3ca3)
## For execution on a local, multicore CPU with excess RAM we recommend calling
## rstan_options(auto_write = TRUE)
## options(mc.cores = parallel::detectCores())
In randomized studies involving severely ill patients, functional outcomes are often unobserved due to missed clinic visits, premature withdrawal or death. It is well known that if these unobserved functional outcomes are not handled properly, biased treatment comparisons can be produced.
R package idem implement a procedure for comparing treatments that is based on the composite endpoint of both the functional outcome and survival. The procedure considers missing data imputation with a sensitivity analysis strategy to handle the unobserved functional outcomes not due to death.
In dataset accepted by idem, each row should represent a subject with treatment assignment, baseline coveraites, baseline outcome, post-randomization outcomes and survival time.
The idem package provides dataset abc from ABC trial as an example data set.
head(abc);
## AGE TRT SURV Y1 Y2
## 1 59.63 1 999 NA NA
## 2 66.89 0 999 49 52
## 3 59.70 1 1 NA NA
## 4 81.41 0 72 NA NA
## 5 66.52 1 999 51 45
## 6 40.27 0 65 NA NA
Parameters of most functions in idem are organized and passed by a list. These parameters include variable names in the dataset, endpoint specification, duration of the study, etc..
The function chkPara checks the specification in the list of parameters for errors:
err.lst.var <- list(trt="TRT", outcome=c("Y1","Y2"),
y0=NULL, endfml="Y2", bounds=c(10,20),
duration=365);
cat(imChkPars(abc, err.lst.var));
## Model specification in not valid. Please check the following:
## ----No survival time specified
## ----Endpoint does not involve outcome
## ----Upper bound is bigger than some observed outcomes
idem provides several functions for the visualization of the data.
lst.var <- list(trt="TRT", surv="SURV", outcome=c("Y1","Y2"), y0=NULL,
endp=c("Y2"), unitTime="days",
trt.label = c("UC+SBT", "SAT+SBT"),
cov=c("AGE"), endfml="Y2", duration=365, bounds=c(0,100));
imPlotCompleters(abc, lst.var);
imMisTable(abc, lst.var);
## Y1 Y2 Control Intervention
## Deaths on study "" "" "58 (62%)" "38 (41%)"
## S=1 "Observed" "Observed" "18 (19%)" "32 (34%)"
## S=2 "Observed" "Missing" "8 (9%)" "8 (9%)"
## S=3 "Missing" "Observed" "1 (1%)" "0 (0%)"
## S=4 "Missing" "Missing" "9 (10%)" "15 (16%)"
## Total "" "" "94" "93"
imPlotMisPattern(abc, lst.var);
imPlotSurv(abc, lst.var);
The first step in missing data imputation is to fit the imputation model to data observed from the completers, i.e. the subjects who were alive at the end of the study without missing data. The result has class name IDEM.FIT, which will be passed to imputation functions.
rst.fit <- imFitModel(abc, lst.var);
The MCMC sampling is primarily done by rstan. It is suggested that the convergence of the MCMC chains should be checked. This can be done by the imImpSingle function which imputes missing data for an individual subject under the benchmark assumption.
rst.mixing <- imImpSingle(abc[1,], rst.fit, chains = 4, iter = 2000, warmup = 1000);
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## Iteration: 1 / 2000 [ 0%] (Warmup)
## Iteration: 200 / 2000 [ 10%] (Warmup)
## Iteration: 400 / 2000 [ 20%] (Warmup)
## Iteration: 600 / 2000 [ 30%] (Warmup)
## Iteration: 800 / 2000 [ 40%] (Warmup)
## Iteration: 1000 / 2000 [ 50%] (Warmup)
## Iteration: 1001 / 2000 [ 50%] (Sampling)
## Iteration: 1200 / 2000 [ 60%] (Sampling)
## Iteration: 1400 / 2000 [ 70%] (Sampling)
## Iteration: 1600 / 2000 [ 80%] (Sampling)
## Iteration: 1800 / 2000 [ 90%] (Sampling)
## Iteration: 2000 / 2000 [100%] (Sampling)
##
## Elapsed Time: 0.029226 seconds (Warm-up)
## 0.023082 seconds (Sampling)
## 0.052308 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## Iteration: 1 / 2000 [ 0%] (Warmup)
## Iteration: 200 / 2000 [ 10%] (Warmup)
## Iteration: 400 / 2000 [ 20%] (Warmup)
## Iteration: 600 / 2000 [ 30%] (Warmup)
## Iteration: 800 / 2000 [ 40%] (Warmup)
## Iteration: 1000 / 2000 [ 50%] (Warmup)
## Iteration: 1001 / 2000 [ 50%] (Sampling)
## Iteration: 1200 / 2000 [ 60%] (Sampling)
## Iteration: 1400 / 2000 [ 70%] (Sampling)
## Iteration: 1600 / 2000 [ 80%] (Sampling)
## Iteration: 1800 / 2000 [ 90%] (Sampling)
## Iteration: 2000 / 2000 [100%] (Sampling)
##
## Elapsed Time: 0.027314 seconds (Warm-up)
## 0.034775 seconds (Sampling)
## 0.062089 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## Iteration: 1 / 2000 [ 0%] (Warmup)
## Iteration: 200 / 2000 [ 10%] (Warmup)
## Iteration: 400 / 2000 [ 20%] (Warmup)
## Iteration: 600 / 2000 [ 30%] (Warmup)
## Iteration: 800 / 2000 [ 40%] (Warmup)
## Iteration: 1000 / 2000 [ 50%] (Warmup)
## Iteration: 1001 / 2000 [ 50%] (Sampling)
## Iteration: 1200 / 2000 [ 60%] (Sampling)
## Iteration: 1400 / 2000 [ 70%] (Sampling)
## Iteration: 1600 / 2000 [ 80%] (Sampling)
## Iteration: 1800 / 2000 [ 90%] (Sampling)
## Iteration: 2000 / 2000 [100%] (Sampling)
##
## Elapsed Time: 0.028666 seconds (Warm-up)
## 0.032148 seconds (Sampling)
## 0.060814 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## Iteration: 1 / 2000 [ 0%] (Warmup)
## Iteration: 200 / 2000 [ 10%] (Warmup)
## Iteration: 400 / 2000 [ 20%] (Warmup)
## Iteration: 600 / 2000 [ 30%] (Warmup)
## Iteration: 800 / 2000 [ 40%] (Warmup)
## Iteration: 1000 / 2000 [ 50%] (Warmup)
## Iteration: 1001 / 2000 [ 50%] (Sampling)
## Iteration: 1200 / 2000 [ 60%] (Sampling)
## Iteration: 1400 / 2000 [ 70%] (Sampling)
## Iteration: 1600 / 2000 [ 80%] (Sampling)
## Iteration: 1800 / 2000 [ 90%] (Sampling)
## Iteration: 2000 / 2000 [100%] (Sampling)
##
## Elapsed Time: 0.035276 seconds (Warm-up)
## 0.029301 seconds (Sampling)
## 0.064577 seconds (Total)
rstan::traceplot(rst.mixing$rst.stan, "YMIS");
The following code shows how to use imImpAll to get the imputed complete datasets under benchmark assmption delta=0 and for sensitivity analysis. We use 300 iterations to reduce the computation time.
rst.imp <- imImpAll(abc, rst.fit, deltas=c(-0.25,0,0.25),
normal=TRUE, chains = 4, iter = 300, warmup = 100);
The following results show the completed datasets:
tail(rst.imp$complete, n=10);
## ID DELTA IMP AGE TRT SURV Y1 Y2 ORGY1 ORGY2 ENDP
## 187.69 187 0.00 1 66.12 1 999 26 23.40310 26 NA 23.40310
## 187.12 187 0.00 2 66.12 1 999 26 28.00054 26 NA 28.00054
## 187.514 187 0.00 3 66.12 1 999 26 30.90857 26 NA 30.90857
## 187.156 187 0.00 4 66.12 1 999 26 31.66782 26 NA 31.66782
## 187.235 187 0.00 5 66.12 1 999 26 32.66910 26 NA 32.66910
## 187.412 187 0.25 1 66.12 1 999 26 37.89598 26 NA 37.89598
## 187.184 187 0.25 2 66.12 1 999 26 30.55835 26 NA 30.55835
## 187.317 187 0.25 3 66.12 1 999 26 27.68812 26 NA 27.68812
## 187.232 187 0.25 4 66.12 1 999 26 34.78296 26 NA 34.78296
## 187.446 187 0.25 5 66.12 1 999 26 32.07419 26 NA 32.07419
Function imPlotImputed plots the densities of the imputed outcomes and the imputed functional endpoint.
imPlotImputed(rst.imp, deltas = c(-0.25,0,0.25), xlim=c(0,100), endp=FALSE);
imPlotImputed(rst.imp, deltas=c(-0.25,0,0.25), xlim=c(0,100), endp=TRUE);
Function imPlotComposite generates the treatment-specific cumulative distribution functions of the composite endpoint, where the values of the composite endpoint are labeled according to the survival time and functional endpoint among survivors.
imPlotComposite(rst.imp, delta=0);
## Loading required package: tcltk
## Warning: Quoted identifiers should have class SQL, use DBI::SQL() if the
## caller performs the quoting.
Given a complete dataset with imputed outcomes, idem estimates treatment effect and quantiles of the composite endpoint using function imEstimate:
rst.est <- imEstimate(rst.imp, quantiles=c(0.25,0.5,0.75));
print(rst.est$theta);
## Delta0 Delta1 Theta
## 1 -0.25 -0.25 -0.17359872
## 2 0.00 -0.25 -0.12656143
## 3 0.25 -0.25 -0.09055136
## 4 -0.25 0.00 -0.23816060
## 5 0.00 0.00 -0.18371082
## 6 0.25 0.00 -0.13676504
## 7 -0.25 0.25 -0.29874171
## 8 0.00 0.25 -0.25989476
## 9 0.25 0.25 -0.21496225
print(rst.est$quantiles);
## Delta TRT Q Quant
## 1 -0.25 0 0.25 -9986.00000
## 2 -0.25 0 0.50 -9928.00000
## 3 -0.25 0 0.75 34.20458
## 4 -0.25 1 0.25 -9939.00000
## 5 -0.25 1 0.50 20.88373
## 6 -0.25 1 0.75 39.30426
## 7 0.00 0 0.25 -9986.00000
## 8 0.00 0 0.50 -9928.00000
## 9 0.00 0 0.75 38.57076
## 10 0.00 1 0.25 -9939.00000
## 11 0.00 1 0.50 30.00000
## 12 0.00 1 0.75 43.00000
## 13 0.25 0 0.25 -9986.00000
## 14 0.25 0 0.50 -9928.00000
## 15 0.25 0 0.75 40.30951
## 16 0.25 1 0.25 -9939.00000
## 17 0.25 1 0.50 34.00000
## 18 0.25 1 0.75 48.32770
idem evaluates the uncertainty of the estimated \(\theta\) and quantiles by bootstrap analysis.
For illustration, we run 2 bootstrap samples by the following code:
rst.boot <- imBs(rst.imp,
n.boot = 2,
n.cores = 1,
quantiles = c(0.25,0.5,0.75));
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003046 seconds (Warm-up)
## 0.005229 seconds (Sampling)
## 0.008275 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003142 seconds (Warm-up)
## 0.0053 seconds (Sampling)
## 0.008442 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003001 seconds (Warm-up)
## 0.005493 seconds (Sampling)
## 0.008494 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002875 seconds (Warm-up)
## 0.005483 seconds (Sampling)
## 0.008358 seconds (Total)
##
## [1] 1
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003856 seconds (Warm-up)
## 0.007943 seconds (Sampling)
## 0.011799 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003796 seconds (Warm-up)
## 0.006983 seconds (Sampling)
## 0.010779 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004559 seconds (Warm-up)
## 0.00708 seconds (Sampling)
## 0.011639 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003663 seconds (Warm-up)
## 0.007527 seconds (Sampling)
## 0.01119 seconds (Total)
##
## [1] 2
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003087 seconds (Warm-up)
## 0.005515 seconds (Sampling)
## 0.008602 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003058 seconds (Warm-up)
## 0.005652 seconds (Sampling)
## 0.00871 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002789 seconds (Warm-up)
## 0.005929 seconds (Sampling)
## 0.008718 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003059 seconds (Warm-up)
## 0.005323 seconds (Sampling)
## 0.008382 seconds (Total)
##
## [1] 3
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00324 seconds (Warm-up)
## 0.005747 seconds (Sampling)
## 0.008987 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002776 seconds (Warm-up)
## 0.005528 seconds (Sampling)
## 0.008304 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 2e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003323 seconds (Warm-up)
## 0.005481 seconds (Sampling)
## 0.008804 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003154 seconds (Warm-up)
## 0.005733 seconds (Sampling)
## 0.008887 seconds (Total)
##
## [1] 4
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002989 seconds (Warm-up)
## 0.005623 seconds (Sampling)
## 0.008612 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003255 seconds (Warm-up)
## 0.005429 seconds (Sampling)
## 0.008684 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002834 seconds (Warm-up)
## 0.005611 seconds (Sampling)
## 0.008445 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003066 seconds (Warm-up)
## 0.005713 seconds (Sampling)
## 0.008779 seconds (Total)
##
## [1] 5
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003209 seconds (Warm-up)
## 0.00554 seconds (Sampling)
## 0.008749 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003275 seconds (Warm-up)
## 0.005802 seconds (Sampling)
## 0.009077 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002727 seconds (Warm-up)
## 0.005559 seconds (Sampling)
## 0.008286 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003062 seconds (Warm-up)
## 0.005903 seconds (Sampling)
## 0.008965 seconds (Total)
##
## [1] 6
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003459 seconds (Warm-up)
## 0.005508 seconds (Sampling)
## 0.008967 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002933 seconds (Warm-up)
## 0.005549 seconds (Sampling)
## 0.008482 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003122 seconds (Warm-up)
## 0.005418 seconds (Sampling)
## 0.00854 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002922 seconds (Warm-up)
## 0.00572 seconds (Sampling)
## 0.008642 seconds (Total)
##
## [1] 7
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004016 seconds (Warm-up)
## 0.007607 seconds (Sampling)
## 0.011623 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004073 seconds (Warm-up)
## 0.008048 seconds (Sampling)
## 0.012121 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004135 seconds (Warm-up)
## 0.007519 seconds (Sampling)
## 0.011654 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004212 seconds (Warm-up)
## 0.00756 seconds (Sampling)
## 0.011772 seconds (Total)
##
## [1] 8
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004082 seconds (Warm-up)
## 0.007603 seconds (Sampling)
## 0.011685 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003431 seconds (Warm-up)
## 0.007449 seconds (Sampling)
## 0.01088 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 2e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00361 seconds (Warm-up)
## 0.00818 seconds (Sampling)
## 0.01179 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003734 seconds (Warm-up)
## 0.007444 seconds (Sampling)
## 0.011178 seconds (Total)
##
## [1] 9
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003949 seconds (Warm-up)
## 0.007707 seconds (Sampling)
## 0.011656 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003793 seconds (Warm-up)
## 0.00686 seconds (Sampling)
## 0.010653 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003574 seconds (Warm-up)
## 0.007729 seconds (Sampling)
## 0.011303 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 2e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00373 seconds (Warm-up)
## 0.007261 seconds (Sampling)
## 0.010991 seconds (Total)
##
## [1] 10
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003719 seconds (Warm-up)
## 0.007846 seconds (Sampling)
## 0.011565 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003793 seconds (Warm-up)
## 0.008138 seconds (Sampling)
## 0.011931 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00373 seconds (Warm-up)
## 0.008227 seconds (Sampling)
## 0.011957 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004075 seconds (Warm-up)
## 0.007816 seconds (Sampling)
## 0.011891 seconds (Total)
##
## [1] 11
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.0038 seconds (Warm-up)
## 0.007729 seconds (Sampling)
## 0.011529 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003805 seconds (Warm-up)
## 0.007418 seconds (Sampling)
## 0.011223 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003877 seconds (Warm-up)
## 0.007573 seconds (Sampling)
## 0.01145 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003895 seconds (Warm-up)
## 0.008114 seconds (Sampling)
## 0.012009 seconds (Total)
##
## [1] 12
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004224 seconds (Warm-up)
## 0.007872 seconds (Sampling)
## 0.012096 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003654 seconds (Warm-up)
## 0.007106 seconds (Sampling)
## 0.01076 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004257 seconds (Warm-up)
## 0.007719 seconds (Sampling)
## 0.011976 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003546 seconds (Warm-up)
## 0.007703 seconds (Sampling)
## 0.011249 seconds (Total)
##
## [1] 13
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003043 seconds (Warm-up)
## 0.005575 seconds (Sampling)
## 0.008618 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002768 seconds (Warm-up)
## 0.005564 seconds (Sampling)
## 0.008332 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003002 seconds (Warm-up)
## 0.005554 seconds (Sampling)
## 0.008556 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002976 seconds (Warm-up)
## 0.005626 seconds (Sampling)
## 0.008602 seconds (Total)
##
## [1] 14
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004728 seconds (Warm-up)
## 0.008191 seconds (Sampling)
## 0.012919 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00393 seconds (Warm-up)
## 0.007688 seconds (Sampling)
## 0.011618 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003757 seconds (Warm-up)
## 0.008063 seconds (Sampling)
## 0.01182 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004139 seconds (Warm-up)
## 0.007959 seconds (Sampling)
## 0.012098 seconds (Total)
##
## [1] 15
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004501 seconds (Warm-up)
## 0.007881 seconds (Sampling)
## 0.012382 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003894 seconds (Warm-up)
## 0.007195 seconds (Sampling)
## 0.011089 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004046 seconds (Warm-up)
## 0.007768 seconds (Sampling)
## 0.011814 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004084 seconds (Warm-up)
## 0.007583 seconds (Sampling)
## 0.011667 seconds (Total)
##
## [1] 16
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003274 seconds (Warm-up)
## 0.005661 seconds (Sampling)
## 0.008935 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003035 seconds (Warm-up)
## 0.005368 seconds (Sampling)
## 0.008403 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002819 seconds (Warm-up)
## 0.005758 seconds (Sampling)
## 0.008577 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002936 seconds (Warm-up)
## 0.005328 seconds (Sampling)
## 0.008264 seconds (Total)
##
## [1] 17
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004627 seconds (Warm-up)
## 0.007131 seconds (Sampling)
## 0.011758 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003655 seconds (Warm-up)
## 0.007582 seconds (Sampling)
## 0.011237 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 2e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004073 seconds (Warm-up)
## 0.00732 seconds (Sampling)
## 0.011393 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 2e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004027 seconds (Warm-up)
## 0.008635 seconds (Sampling)
## 0.012662 seconds (Total)
##
## [1] 18
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004326 seconds (Warm-up)
## 0.006857 seconds (Sampling)
## 0.011183 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003773 seconds (Warm-up)
## 0.007282 seconds (Sampling)
## 0.011055 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003974 seconds (Warm-up)
## 0.007449 seconds (Sampling)
## 0.011423 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003869 seconds (Warm-up)
## 0.007626 seconds (Sampling)
## 0.011495 seconds (Total)
##
## [1] 19
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003116 seconds (Warm-up)
## 0.00562 seconds (Sampling)
## 0.008736 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003316 seconds (Warm-up)
## 0.00568 seconds (Sampling)
## 0.008996 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002735 seconds (Warm-up)
## 0.005728 seconds (Sampling)
## 0.008463 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002928 seconds (Warm-up)
## 0.005299 seconds (Sampling)
## 0.008227 seconds (Total)
##
## [1] 20
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004948 seconds (Warm-up)
## 0.008766 seconds (Sampling)
## 0.013714 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003949 seconds (Warm-up)
## 0.008301 seconds (Sampling)
## 0.01225 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004949 seconds (Warm-up)
## 0.008767 seconds (Sampling)
## 0.013716 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004443 seconds (Warm-up)
## 0.007964 seconds (Sampling)
## 0.012407 seconds (Total)
##
## [1] 21
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003092 seconds (Warm-up)
## 0.005881 seconds (Sampling)
## 0.008973 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002976 seconds (Warm-up)
## 0.006207 seconds (Sampling)
## 0.009183 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003026 seconds (Warm-up)
## 0.006176 seconds (Sampling)
## 0.009202 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003043 seconds (Warm-up)
## 0.005436 seconds (Sampling)
## 0.008479 seconds (Total)
##
## [1] 22
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00499 seconds (Warm-up)
## 0.009105 seconds (Sampling)
## 0.014095 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004631 seconds (Warm-up)
## 0.008601 seconds (Sampling)
## 0.013232 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00446 seconds (Warm-up)
## 0.008168 seconds (Sampling)
## 0.012628 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004389 seconds (Warm-up)
## 0.023764 seconds (Sampling)
## 0.028153 seconds (Total)
##
## [1] 23
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002997 seconds (Warm-up)
## 0.005703 seconds (Sampling)
## 0.0087 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003392 seconds (Warm-up)
## 0.005737 seconds (Sampling)
## 0.009129 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002926 seconds (Warm-up)
## 0.005491 seconds (Sampling)
## 0.008417 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003234 seconds (Warm-up)
## 0.006005 seconds (Sampling)
## 0.009239 seconds (Total)
##
## [1] 24
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004463 seconds (Warm-up)
## 0.009312 seconds (Sampling)
## 0.013775 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002702 seconds (Warm-up)
## 0.005692 seconds (Sampling)
## 0.008394 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00289 seconds (Warm-up)
## 0.005219 seconds (Sampling)
## 0.008109 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003076 seconds (Warm-up)
## 0.005682 seconds (Sampling)
## 0.008758 seconds (Total)
##
## [1] 25
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004188 seconds (Warm-up)
## 0.007879 seconds (Sampling)
## 0.012067 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004291 seconds (Warm-up)
## 0.008552 seconds (Sampling)
## 0.012843 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004079 seconds (Warm-up)
## 0.007768 seconds (Sampling)
## 0.011847 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004144 seconds (Warm-up)
## 0.008329 seconds (Sampling)
## 0.012473 seconds (Total)
##
## [1] 26
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00323 seconds (Warm-up)
## 0.008743 seconds (Sampling)
## 0.011973 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003069 seconds (Warm-up)
## 0.006108 seconds (Sampling)
## 0.009177 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003295 seconds (Warm-up)
## 0.005276 seconds (Sampling)
## 0.008571 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003034 seconds (Warm-up)
## 0.005494 seconds (Sampling)
## 0.008528 seconds (Total)
##
## [1] 27
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004322 seconds (Warm-up)
## 0.008326 seconds (Sampling)
## 0.012648 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004505 seconds (Warm-up)
## 0.007617 seconds (Sampling)
## 0.012122 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004154 seconds (Warm-up)
## 0.008368 seconds (Sampling)
## 0.012522 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003876 seconds (Warm-up)
## 0.008541 seconds (Sampling)
## 0.012417 seconds (Total)
##
## [1] 28
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005052 seconds (Warm-up)
## 0.009515 seconds (Sampling)
## 0.014567 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00418 seconds (Warm-up)
## 0.009175 seconds (Sampling)
## 0.013355 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005489 seconds (Warm-up)
## 0.008018 seconds (Sampling)
## 0.013507 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004768 seconds (Warm-up)
## 0.008948 seconds (Sampling)
## 0.013716 seconds (Total)
##
## [1] 29
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004355 seconds (Warm-up)
## 0.008133 seconds (Sampling)
## 0.012488 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00466 seconds (Warm-up)
## 0.009118 seconds (Sampling)
## 0.013778 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004326 seconds (Warm-up)
## 0.009259 seconds (Sampling)
## 0.013585 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004317 seconds (Warm-up)
## 0.008832 seconds (Sampling)
## 0.013149 seconds (Total)
##
## [1] 30
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004746 seconds (Warm-up)
## 0.008689 seconds (Sampling)
## 0.013435 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004392 seconds (Warm-up)
## 0.008052 seconds (Sampling)
## 0.012444 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003887 seconds (Warm-up)
## 0.008925 seconds (Sampling)
## 0.012812 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005241 seconds (Warm-up)
## 0.009133 seconds (Sampling)
## 0.014374 seconds (Total)
##
## [1] 31
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004627 seconds (Warm-up)
## 0.009305 seconds (Sampling)
## 0.013932 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004739 seconds (Warm-up)
## 0.01 seconds (Sampling)
## 0.014739 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004294 seconds (Warm-up)
## 0.008776 seconds (Sampling)
## 0.01307 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004874 seconds (Warm-up)
## 0.008102 seconds (Sampling)
## 0.012976 seconds (Total)
##
## [1] 32
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004716 seconds (Warm-up)
## 0.008636 seconds (Sampling)
## 0.013352 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004095 seconds (Warm-up)
## 0.008625 seconds (Sampling)
## 0.01272 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00393 seconds (Warm-up)
## 0.008132 seconds (Sampling)
## 0.012062 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004269 seconds (Warm-up)
## 0.008338 seconds (Sampling)
## 0.012607 seconds (Total)
##
## [1] 33
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003306 seconds (Warm-up)
## 0.005824 seconds (Sampling)
## 0.00913 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003197 seconds (Warm-up)
## 0.006266 seconds (Sampling)
## 0.009463 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002844 seconds (Warm-up)
## 0.005583 seconds (Sampling)
## 0.008427 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.1e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003279 seconds (Warm-up)
## 0.005797 seconds (Sampling)
## 0.009076 seconds (Total)
##
## [1] 34
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005018 seconds (Warm-up)
## 0.008554 seconds (Sampling)
## 0.013572 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 2e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005842 seconds (Warm-up)
## 0.008737 seconds (Sampling)
## 0.014579 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00473 seconds (Warm-up)
## 0.008935 seconds (Sampling)
## 0.013665 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005006 seconds (Warm-up)
## 0.008555 seconds (Sampling)
## 0.013561 seconds (Total)
##
## [1] 35
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004235 seconds (Warm-up)
## 0.009567 seconds (Sampling)
## 0.013802 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00545 seconds (Warm-up)
## 0.010248 seconds (Sampling)
## 0.015698 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005098 seconds (Warm-up)
## 0.01152 seconds (Sampling)
## 0.016618 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005639 seconds (Warm-up)
## 0.010516 seconds (Sampling)
## 0.016155 seconds (Total)
##
## [1] 36
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.0034 seconds (Warm-up)
## 0.006304 seconds (Sampling)
## 0.009704 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002917 seconds (Warm-up)
## 0.006195 seconds (Sampling)
## 0.009112 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002955 seconds (Warm-up)
## 0.005363 seconds (Sampling)
## 0.008318 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003081 seconds (Warm-up)
## 0.00555 seconds (Sampling)
## 0.008631 seconds (Total)
##
## [1] 37
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004775 seconds (Warm-up)
## 0.008281 seconds (Sampling)
## 0.013056 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004754 seconds (Warm-up)
## 0.010838 seconds (Sampling)
## 0.015592 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004433 seconds (Warm-up)
## 0.008442 seconds (Sampling)
## 0.012875 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004385 seconds (Warm-up)
## 0.008879 seconds (Sampling)
## 0.013264 seconds (Total)
##
## [1] 38
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005113 seconds (Warm-up)
## 0.009782 seconds (Sampling)
## 0.014895 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004345 seconds (Warm-up)
## 0.008563 seconds (Sampling)
## 0.012908 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004063 seconds (Warm-up)
## 0.011454 seconds (Sampling)
## 0.015517 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003988 seconds (Warm-up)
## 0.008735 seconds (Sampling)
## 0.012723 seconds (Total)
##
## [1] 39
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00511 seconds (Warm-up)
## 0.0118 seconds (Sampling)
## 0.01691 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004091 seconds (Warm-up)
## 0.008015 seconds (Sampling)
## 0.012106 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004595 seconds (Warm-up)
## 0.008978 seconds (Sampling)
## 0.013573 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005123 seconds (Warm-up)
## 0.009328 seconds (Sampling)
## 0.014451 seconds (Total)
##
## [1] 40
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005348 seconds (Warm-up)
## 0.009845 seconds (Sampling)
## 0.015193 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004819 seconds (Warm-up)
## 0.008983 seconds (Sampling)
## 0.013802 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004383 seconds (Warm-up)
## 0.012097 seconds (Sampling)
## 0.01648 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004263 seconds (Warm-up)
## 0.008079 seconds (Sampling)
## 0.012342 seconds (Total)
##
## [1] 41
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005864 seconds (Warm-up)
## 0.009542 seconds (Sampling)
## 0.015406 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004447 seconds (Warm-up)
## 0.008396 seconds (Sampling)
## 0.012843 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00439 seconds (Warm-up)
## 0.008406 seconds (Sampling)
## 0.012796 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00476 seconds (Warm-up)
## 0.008152 seconds (Sampling)
## 0.012912 seconds (Total)
##
## [1] 42
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005061 seconds (Warm-up)
## 0.008644 seconds (Sampling)
## 0.013705 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004186 seconds (Warm-up)
## 0.008123 seconds (Sampling)
## 0.012309 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004441 seconds (Warm-up)
## 0.007567 seconds (Sampling)
## 0.012008 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00455 seconds (Warm-up)
## 0.009305 seconds (Sampling)
## 0.013855 seconds (Total)
##
## [1] 43
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004609 seconds (Warm-up)
## 0.008755 seconds (Sampling)
## 0.013364 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004343 seconds (Warm-up)
## 0.008976 seconds (Sampling)
## 0.013319 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004863 seconds (Warm-up)
## 0.008793 seconds (Sampling)
## 0.013656 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005253 seconds (Warm-up)
## 0.008806 seconds (Sampling)
## 0.014059 seconds (Total)
##
## [1] 44
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004857 seconds (Warm-up)
## 0.009622 seconds (Sampling)
## 0.014479 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.007114 seconds (Warm-up)
## 0.010804 seconds (Sampling)
## 0.017918 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004435 seconds (Warm-up)
## 0.008672 seconds (Sampling)
## 0.013107 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004972 seconds (Warm-up)
## 0.009606 seconds (Sampling)
## 0.014578 seconds (Total)
##
## [1] 1
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004992 seconds (Warm-up)
## 0.008706 seconds (Sampling)
## 0.013698 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004617 seconds (Warm-up)
## 0.008846 seconds (Sampling)
## 0.013463 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005316 seconds (Warm-up)
## 0.010425 seconds (Sampling)
## 0.015741 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004555 seconds (Warm-up)
## 0.00908 seconds (Sampling)
## 0.013635 seconds (Total)
##
## [1] 2
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003162 seconds (Warm-up)
## 0.005476 seconds (Sampling)
## 0.008638 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003406 seconds (Warm-up)
## 0.005965 seconds (Sampling)
## 0.009371 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003292 seconds (Warm-up)
## 0.005992 seconds (Sampling)
## 0.009284 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002918 seconds (Warm-up)
## 0.005683 seconds (Sampling)
## 0.008601 seconds (Total)
##
## [1] 3
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005027 seconds (Warm-up)
## 0.011224 seconds (Sampling)
## 0.016251 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005685 seconds (Warm-up)
## 0.010128 seconds (Sampling)
## 0.015813 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.6e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.16 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004744 seconds (Warm-up)
## 0.009319 seconds (Sampling)
## 0.014063 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004473 seconds (Warm-up)
## 0.009214 seconds (Sampling)
## 0.013687 seconds (Total)
##
## [1] 4
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005022 seconds (Warm-up)
## 0.009707 seconds (Sampling)
## 0.014729 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004897 seconds (Warm-up)
## 0.010938 seconds (Sampling)
## 0.015835 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004857 seconds (Warm-up)
## 0.009556 seconds (Sampling)
## 0.014413 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005419 seconds (Warm-up)
## 0.008841 seconds (Sampling)
## 0.01426 seconds (Total)
##
## [1] 5
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005067 seconds (Warm-up)
## 0.010388 seconds (Sampling)
## 0.015455 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.006289 seconds (Warm-up)
## 0.010126 seconds (Sampling)
## 0.016415 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005379 seconds (Warm-up)
## 0.011465 seconds (Sampling)
## 0.016844 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.006163 seconds (Warm-up)
## 0.009701 seconds (Sampling)
## 0.015864 seconds (Total)
##
## [1] 6
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003632 seconds (Warm-up)
## 0.005852 seconds (Sampling)
## 0.009484 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002936 seconds (Warm-up)
## 0.005839 seconds (Sampling)
## 0.008775 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003082 seconds (Warm-up)
## 0.006207 seconds (Sampling)
## 0.009289 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003352 seconds (Warm-up)
## 0.005837 seconds (Sampling)
## 0.009189 seconds (Total)
##
## [1] 7
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003455 seconds (Warm-up)
## 0.006109 seconds (Sampling)
## 0.009564 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002993 seconds (Warm-up)
## 0.005673 seconds (Sampling)
## 0.008666 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003549 seconds (Warm-up)
## 0.006571 seconds (Sampling)
## 0.01012 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00671 seconds (Warm-up)
## 0.006373 seconds (Sampling)
## 0.013083 seconds (Total)
##
## [1] 8
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004192 seconds (Warm-up)
## 0.005743 seconds (Sampling)
## 0.009935 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003064 seconds (Warm-up)
## 0.006242 seconds (Sampling)
## 0.009306 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003062 seconds (Warm-up)
## 0.005955 seconds (Sampling)
## 0.009017 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003262 seconds (Warm-up)
## 0.007609 seconds (Sampling)
## 0.010871 seconds (Total)
##
## [1] 9
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003451 seconds (Warm-up)
## 0.006132 seconds (Sampling)
## 0.009583 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002898 seconds (Warm-up)
## 0.00653 seconds (Sampling)
## 0.009428 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003402 seconds (Warm-up)
## 0.010157 seconds (Sampling)
## 0.013559 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002928 seconds (Warm-up)
## 0.006043 seconds (Sampling)
## 0.008971 seconds (Total)
##
## [1] 10
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003233 seconds (Warm-up)
## 0.006304 seconds (Sampling)
## 0.009537 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003077 seconds (Warm-up)
## 0.006126 seconds (Sampling)
## 0.009203 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003801 seconds (Warm-up)
## 0.006115 seconds (Sampling)
## 0.009916 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002849 seconds (Warm-up)
## 0.006059 seconds (Sampling)
## 0.008908 seconds (Total)
##
## [1] 11
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003427 seconds (Warm-up)
## 0.006509 seconds (Sampling)
## 0.009936 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003233 seconds (Warm-up)
## 0.006652 seconds (Sampling)
## 0.009885 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003121 seconds (Warm-up)
## 0.005923 seconds (Sampling)
## 0.009044 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003453 seconds (Warm-up)
## 0.006045 seconds (Sampling)
## 0.009498 seconds (Total)
##
## [1] 12
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.006058 seconds (Warm-up)
## 0.009324 seconds (Sampling)
## 0.015382 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004666 seconds (Warm-up)
## 0.009633 seconds (Sampling)
## 0.014299 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004951 seconds (Warm-up)
## 0.008595 seconds (Sampling)
## 0.013546 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004493 seconds (Warm-up)
## 0.009624 seconds (Sampling)
## 0.014117 seconds (Total)
##
## [1] 13
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00315 seconds (Warm-up)
## 0.005668 seconds (Sampling)
## 0.008818 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002913 seconds (Warm-up)
## 0.006401 seconds (Sampling)
## 0.009314 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002783 seconds (Warm-up)
## 0.005869 seconds (Sampling)
## 0.008652 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003044 seconds (Warm-up)
## 0.006514 seconds (Sampling)
## 0.009558 seconds (Total)
##
## [1] 14
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004854 seconds (Warm-up)
## 0.013285 seconds (Sampling)
## 0.018139 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005474 seconds (Warm-up)
## 0.010744 seconds (Sampling)
## 0.016218 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004902 seconds (Warm-up)
## 0.010674 seconds (Sampling)
## 0.015576 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004983 seconds (Warm-up)
## 0.010249 seconds (Sampling)
## 0.015232 seconds (Total)
##
## [1] 15
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003383 seconds (Warm-up)
## 0.006397 seconds (Sampling)
## 0.00978 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002946 seconds (Warm-up)
## 0.005908 seconds (Sampling)
## 0.008854 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00376 seconds (Warm-up)
## 0.005604 seconds (Sampling)
## 0.009364 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003088 seconds (Warm-up)
## 0.005793 seconds (Sampling)
## 0.008881 seconds (Total)
##
## [1] 16
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005834 seconds (Warm-up)
## 0.010568 seconds (Sampling)
## 0.016402 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004978 seconds (Warm-up)
## 0.009546 seconds (Sampling)
## 0.014524 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005057 seconds (Warm-up)
## 0.009177 seconds (Sampling)
## 0.014234 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004755 seconds (Warm-up)
## 0.010385 seconds (Sampling)
## 0.01514 seconds (Total)
##
## [1] 17
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003651 seconds (Warm-up)
## 0.005746 seconds (Sampling)
## 0.009397 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003436 seconds (Warm-up)
## 0.005957 seconds (Sampling)
## 0.009393 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002817 seconds (Warm-up)
## 0.005861 seconds (Sampling)
## 0.008678 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003162 seconds (Warm-up)
## 0.00581 seconds (Sampling)
## 0.008972 seconds (Total)
##
## [1] 18
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00337 seconds (Warm-up)
## 0.009265 seconds (Sampling)
## 0.012635 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003063 seconds (Warm-up)
## 0.005683 seconds (Sampling)
## 0.008746 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002955 seconds (Warm-up)
## 0.006138 seconds (Sampling)
## 0.009093 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003074 seconds (Warm-up)
## 0.005602 seconds (Sampling)
## 0.008676 seconds (Total)
##
## [1] 19
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003369 seconds (Warm-up)
## 0.005946 seconds (Sampling)
## 0.009315 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003047 seconds (Warm-up)
## 0.006066 seconds (Sampling)
## 0.009113 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003185 seconds (Warm-up)
## 0.006417 seconds (Sampling)
## 0.009602 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003446 seconds (Warm-up)
## 0.006569 seconds (Sampling)
## 0.010015 seconds (Total)
##
## [1] 20
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.006119 seconds (Warm-up)
## 0.010903 seconds (Sampling)
## 0.017022 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005606 seconds (Warm-up)
## 0.010172 seconds (Sampling)
## 0.015778 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005372 seconds (Warm-up)
## 0.009831 seconds (Sampling)
## 0.015203 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.008693 seconds (Warm-up)
## 0.010011 seconds (Sampling)
## 0.018704 seconds (Total)
##
## [1] 21
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005012 seconds (Warm-up)
## 0.008774 seconds (Sampling)
## 0.013786 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004459 seconds (Warm-up)
## 0.011028 seconds (Sampling)
## 0.015487 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005101 seconds (Warm-up)
## 0.008703 seconds (Sampling)
## 0.013804 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004574 seconds (Warm-up)
## 0.010345 seconds (Sampling)
## 0.014919 seconds (Total)
##
## [1] 22
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.7e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.17 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004313 seconds (Warm-up)
## 0.006444 seconds (Sampling)
## 0.010757 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003125 seconds (Warm-up)
## 0.006202 seconds (Sampling)
## 0.009327 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.1e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003347 seconds (Warm-up)
## 0.005909 seconds (Sampling)
## 0.009256 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003057 seconds (Warm-up)
## 0.006251 seconds (Sampling)
## 0.009308 seconds (Total)
##
## [1] 23
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003419 seconds (Warm-up)
## 0.005865 seconds (Sampling)
## 0.009284 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003002 seconds (Warm-up)
## 0.005808 seconds (Sampling)
## 0.00881 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00309 seconds (Warm-up)
## 0.009742 seconds (Sampling)
## 0.012832 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003104 seconds (Warm-up)
## 0.005714 seconds (Sampling)
## 0.008818 seconds (Total)
##
## [1] 24
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003756 seconds (Warm-up)
## 0.007369 seconds (Sampling)
## 0.011125 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002991 seconds (Warm-up)
## 0.007227 seconds (Sampling)
## 0.010218 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003185 seconds (Warm-up)
## 0.005959 seconds (Sampling)
## 0.009144 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003578 seconds (Warm-up)
## 0.00598 seconds (Sampling)
## 0.009558 seconds (Total)
##
## [1] 25
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004664 seconds (Warm-up)
## 0.009137 seconds (Sampling)
## 0.013801 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005337 seconds (Warm-up)
## 0.011804 seconds (Sampling)
## 0.017141 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005613 seconds (Warm-up)
## 0.011328 seconds (Sampling)
## 0.016941 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005614 seconds (Warm-up)
## 0.010245 seconds (Sampling)
## 0.015859 seconds (Total)
##
## [1] 26
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005238 seconds (Warm-up)
## 0.009159 seconds (Sampling)
## 0.014397 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00773 seconds (Warm-up)
## 0.009805 seconds (Sampling)
## 0.017535 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004513 seconds (Warm-up)
## 0.009723 seconds (Sampling)
## 0.014236 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00419 seconds (Warm-up)
## 0.009496 seconds (Sampling)
## 0.013686 seconds (Total)
##
## [1] 27
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004033 seconds (Warm-up)
## 0.006952 seconds (Sampling)
## 0.010985 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003976 seconds (Warm-up)
## 0.007339 seconds (Sampling)
## 0.011315 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00347 seconds (Warm-up)
## 0.00668 seconds (Sampling)
## 0.01015 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003458 seconds (Warm-up)
## 0.007283 seconds (Sampling)
## 0.010741 seconds (Total)
##
## [1] 28
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 2.8e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003314 seconds (Warm-up)
## 0.006385 seconds (Sampling)
## 0.009699 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003007 seconds (Warm-up)
## 0.005986 seconds (Sampling)
## 0.008993 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003047 seconds (Warm-up)
## 0.005702 seconds (Sampling)
## 0.008749 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003443 seconds (Warm-up)
## 0.005885 seconds (Sampling)
## 0.009328 seconds (Total)
##
## [1] 29
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005246 seconds (Warm-up)
## 0.009077 seconds (Sampling)
## 0.014323 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005487 seconds (Warm-up)
## 0.009725 seconds (Sampling)
## 0.015212 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005202 seconds (Warm-up)
## 0.013254 seconds (Sampling)
## 0.018456 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004663 seconds (Warm-up)
## 0.010527 seconds (Sampling)
## 0.01519 seconds (Total)
##
## [1] 30
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005001 seconds (Warm-up)
## 0.00916 seconds (Sampling)
## 0.014161 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004913 seconds (Warm-up)
## 0.009104 seconds (Sampling)
## 0.014017 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004357 seconds (Warm-up)
## 0.008703 seconds (Sampling)
## 0.01306 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004775 seconds (Warm-up)
## 0.009359 seconds (Sampling)
## 0.014134 seconds (Total)
##
## [1] 31
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005853 seconds (Warm-up)
## 0.010692 seconds (Sampling)
## 0.016545 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005781 seconds (Warm-up)
## 0.009018 seconds (Sampling)
## 0.014799 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004468 seconds (Warm-up)
## 0.009912 seconds (Sampling)
## 0.01438 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004983 seconds (Warm-up)
## 0.011163 seconds (Sampling)
## 0.016146 seconds (Total)
##
## [1] 32
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004815 seconds (Warm-up)
## 0.009731 seconds (Sampling)
## 0.014546 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004726 seconds (Warm-up)
## 0.010448 seconds (Sampling)
## 0.015174 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004561 seconds (Warm-up)
## 0.010006 seconds (Sampling)
## 0.014567 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00476 seconds (Warm-up)
## 0.010021 seconds (Sampling)
## 0.014781 seconds (Total)
##
## [1] 33
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004731 seconds (Warm-up)
## 0.009544 seconds (Sampling)
## 0.014275 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004578 seconds (Warm-up)
## 0.009777 seconds (Sampling)
## 0.014355 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004396 seconds (Warm-up)
## 0.010601 seconds (Sampling)
## 0.014997 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00894 seconds (Warm-up)
## 0.010031 seconds (Sampling)
## 0.018971 seconds (Total)
##
## [1] 34
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00341 seconds (Warm-up)
## 0.006105 seconds (Sampling)
## 0.009515 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002948 seconds (Warm-up)
## 0.006297 seconds (Sampling)
## 0.009245 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.1e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003183 seconds (Warm-up)
## 0.006741 seconds (Sampling)
## 0.009924 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003359 seconds (Warm-up)
## 0.005934 seconds (Sampling)
## 0.009293 seconds (Total)
##
## [1] 35
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003457 seconds (Warm-up)
## 0.007045 seconds (Sampling)
## 0.010502 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003462 seconds (Warm-up)
## 0.006675 seconds (Sampling)
## 0.010137 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003065 seconds (Warm-up)
## 0.005497 seconds (Sampling)
## 0.008562 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.1e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003627 seconds (Warm-up)
## 0.005897 seconds (Sampling)
## 0.009524 seconds (Total)
##
## [1] 36
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003585 seconds (Warm-up)
## 0.006382 seconds (Sampling)
## 0.009967 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002876 seconds (Warm-up)
## 0.005987 seconds (Sampling)
## 0.008863 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00308 seconds (Warm-up)
## 0.006202 seconds (Sampling)
## 0.009282 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003224 seconds (Warm-up)
## 0.009917 seconds (Sampling)
## 0.013141 seconds (Total)
##
## [1] 37
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004939 seconds (Warm-up)
## 0.009338 seconds (Sampling)
## 0.014277 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005676 seconds (Warm-up)
## 0.009715 seconds (Sampling)
## 0.015391 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.1e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.11 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004156 seconds (Warm-up)
## 0.009425 seconds (Sampling)
## 0.013581 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004952 seconds (Warm-up)
## 0.009756 seconds (Sampling)
## 0.014708 seconds (Total)
##
## [1] 38
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00355 seconds (Warm-up)
## 0.006714 seconds (Sampling)
## 0.010264 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003542 seconds (Warm-up)
## 0.007444 seconds (Sampling)
## 0.010986 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003436 seconds (Warm-up)
## 0.006654 seconds (Sampling)
## 0.01009 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002858 seconds (Warm-up)
## 0.006045 seconds (Sampling)
## 0.008903 seconds (Total)
##
## [1] 39
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003129 seconds (Warm-up)
## 0.005742 seconds (Sampling)
## 0.008871 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 2e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.02 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003208 seconds (Warm-up)
## 0.00591 seconds (Sampling)
## 0.009118 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003576 seconds (Warm-up)
## 0.005954 seconds (Sampling)
## 0.00953 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003172 seconds (Warm-up)
## 0.005898 seconds (Sampling)
## 0.00907 seconds (Total)
##
## [1] 40
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.006259 seconds (Warm-up)
## 0.008395 seconds (Sampling)
## 0.014654 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005047 seconds (Warm-up)
## 0.010583 seconds (Sampling)
## 0.01563 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 1.2e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.12 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004905 seconds (Warm-up)
## 0.009251 seconds (Sampling)
## 0.014156 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004709 seconds (Warm-up)
## 0.009222 seconds (Sampling)
## 0.013931 seconds (Total)
##
## [1] 41
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.5e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.15 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003435 seconds (Warm-up)
## 0.005992 seconds (Sampling)
## 0.009427 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002934 seconds (Warm-up)
## 0.009399 seconds (Sampling)
## 0.012333 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003186 seconds (Warm-up)
## 0.006137 seconds (Sampling)
## 0.009323 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003015 seconds (Warm-up)
## 0.006126 seconds (Sampling)
## 0.009141 seconds (Total)
##
## [1] 42
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 1.4e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.14 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005407 seconds (Warm-up)
## 0.010431 seconds (Sampling)
## 0.015838 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.00514 seconds (Warm-up)
## 0.00945 seconds (Sampling)
## 0.01459 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 4e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.04 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.005239 seconds (Warm-up)
## 0.010149 seconds (Sampling)
## 0.015388 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.004643 seconds (Warm-up)
## 0.010515 seconds (Sampling)
## 0.015158 seconds (Total)
##
## [1] 43
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 1).
##
## Gradient evaluation took 5e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.05 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003334 seconds (Warm-up)
## 0.00585 seconds (Sampling)
## 0.009184 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 2).
##
## Gradient evaluation took 1.3e-05 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.13 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003318 seconds (Warm-up)
## 0.006254 seconds (Sampling)
## 0.009572 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 3).
##
## Gradient evaluation took 3e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.03 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.002936 seconds (Warm-up)
## 0.006006 seconds (Sampling)
## 0.008942 seconds (Total)
##
##
## SAMPLING FOR MODEL 'idem' NOW (CHAIN 4).
##
## Gradient evaluation took 6e-06 seconds
## 1000 transitions using 10 leapfrog steps per transition would take 0.06 seconds.
## Adjust your expectations accordingly!
##
##
## WARNING: There aren't enough warmup iterations to fit the
## three stages of adaptation as currently configured.
## Reducing each adaptation stage to 15%/75%/10% of
## the given number of warmup iterations:
## init_buffer = 15
## adapt_window = 75
## term_buffer = 10
##
## Iteration: 1 / 300 [ 0%] (Warmup)
## Iteration: 30 / 300 [ 10%] (Warmup)
## Iteration: 60 / 300 [ 20%] (Warmup)
## Iteration: 90 / 300 [ 30%] (Warmup)
## Iteration: 101 / 300 [ 33%] (Sampling)
## Iteration: 130 / 300 [ 43%] (Sampling)
## Iteration: 160 / 300 [ 53%] (Sampling)
## Iteration: 190 / 300 [ 63%] (Sampling)
## Iteration: 220 / 300 [ 73%] (Sampling)
## Iteration: 250 / 300 [ 83%] (Sampling)
## Iteration: 280 / 300 [ 93%] (Sampling)
## Iteration: 300 / 300 [100%] (Sampling)
##
## Elapsed Time: 0.003434 seconds (Warm-up)
## 0.006225 seconds (Sampling)
## 0.009659 seconds (Total)
##
## [1] 44
Hypothesis testing results and the confidence intervals of and quantiles of the composite endpoint are obtained by summarizing the results from the bootstrap analysis and the analysis on the original dataset:
rst.final <- imTest(rst.boot);
print(rst.final);
## $theta
## Delta0 Delta1 Theta SD PValue
## 1 -0.25 -0.25 -0.17359872 0.014608040 1.437197e-32
## 2 0.00 -0.25 -0.12656143 0.002410407 0.000000e+00
## 3 0.25 -0.25 -0.09055136 0.009140136 3.881098e-23
## 4 -0.25 0.00 -0.23816060 0.024767341 6.849876e-22
## 5 0.00 0.00 -0.18371082 0.006745905 2.646842e-163
## 6 0.25 0.00 -0.13676504 0.009722516 6.072579e-45
## 7 -0.25 0.25 -0.29874171 0.024282024 8.727312e-35
## 8 0.00 0.25 -0.25989476 0.009431326 3.694202e-167
## 9 0.25 0.25 -0.21496225 0.004804638 0.000000e+00
##
## $quantiles
## Delta TRT Q Quant LB UB
## 1 -0.25 0 0.25 -9986.00000 -9988.95000 -9987.05000
## 2 -0.25 0 0.50 -9928.00000 -9927.52500 -9909.47500
## 3 -0.25 0 0.75 34.20458 34.22773 36.92892
## 4 -0.25 1 0.25 -9939.00000 -9938.80000 -9931.20000
## 5 -0.25 1 0.50 20.88373 25.07931 25.73948
## 6 -0.25 1 0.75 39.30426 38.07500 40.92500
## 7 0.00 0 0.25 -9986.00000 -9988.95000 -9987.05000
## 8 0.00 0 0.50 -9928.00000 -9927.52500 -9909.47500
## 9 0.00 0 0.75 38.57076 38.04858 39.62933
## 10 0.00 1 0.25 -9939.00000 -9938.80000 -9931.20000
## 11 0.00 1 0.50 30.00000 31.12500 35.87500
## 12 0.00 1 0.75 43.00000 40.25632 45.12177
## 13 0.25 0 0.25 -9986.00000 -9988.95000 -9987.05000
## 14 0.25 0 0.50 -9928.00000 -9927.52500 -9909.47500
## 15 0.25 0 0.75 40.30951 39.31246 42.82100
## 16 0.25 1 0.25 -9939.00000 -9938.80000 -9931.20000
## 17 0.25 1 0.50 34.00000 33.97631 39.84555
## 18 0.25 1 0.75 48.32770 46.13849 48.45385
##
## $survivor
## Delta0 Delta1 Diff SD PValue
## 1 -0.25 -0.25 -3.870369 3.00788014 1.981839e-01
## 2 -0.25 0.00 8.092589 1.35737646 2.492702e-09
## 3 -0.25 0.25 24.828136 3.21537497 1.154632e-14
## 4 0.00 -0.25 -13.247132 4.41963005 2.723471e-03
## 5 0.00 0.00 -1.284175 0.05437345 2.536524e-123
## 6 0.00 0.25 15.451373 1.80362507 0.000000e+00
## 7 0.25 -0.25 -21.213851 5.20882597 4.647640e-05
## 8 0.25 0.00 -9.250894 0.84356937 5.545399e-28
## 9 0.25 0.25 7.484654 1.01442915 1.605382e-13
##
## $lst.var
## $lst.var$trt
## [1] "TRT"
##
## $lst.var$surv
## [1] "SURV"
##
## $lst.var$outcome
## [1] "Y1" "Y2"
##
## $lst.var$y0
## NULL
##
## $lst.var$endp
## [1] "Y2"
##
## $lst.var$unitTime
## [1] "days"
##
## $lst.var$trt.label
## [1] "UC+SBT" "SAT+SBT"
##
## $lst.var$cov
## [1] "AGE"
##
## $lst.var$endfml
## [1] "Y2"
##
## $lst.var$duration
## [1] 365
##
## $lst.var$bounds
## [1] 0 100
##
##
## attr(,"class")
## [1] "IDEM.TEST"
A contour plot of p-values in the sensitivity analysis results can be generated by plotContour:
imPlotContour(rst.final, nlevels = 30, con.v=0.05, zlim=c(0, 0.05));
The idem package provides a web-based GUI for composite endpoint analysis. The GUI can be accessed by
imShiny();