historicalborrowlong: Longitudinal Bayesian Historical Borrowing Models

Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a longitudinal hierarchical model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through longitudinal benchmark models (independent and pooled). The hierarchical model approach to historical borrowing is discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.

Version: 0.1.0
Depends: R (≥ 4.0.0)
Imports: clustermq, dplyr, ggplot2, MASS, Matrix, methods, posterior, Rcpp, RcppParallel, rlang, rstan (≥ 2.26.0), rstantools, stats, tibble, tidyr, tidyselect, trialr, utils, withr, zoo
LinkingTo: BH, Rcpp, RcppEigen, RcppParallel, rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0)
Suggests: knitr, markdown, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-09-25
DOI: 10.32614/CRAN.package.historicalborrowlong
Author: William Michael Landau ORCID iD [aut, cre], Albert Man [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau.oss at gmail.com>
BugReports: https://github.com/wlandau/historicalborrowlong/issues
License: MIT + file LICENSE
URL: https://wlandau.github.io/historicalborrowlong/, https://github.com/wlandau/historicalborrowlong
NeedsCompilation: yes
SystemRequirements: GNU make
Language: en-US
Materials: README NEWS
CRAN checks: historicalborrowlong results

Documentation:

Reference manual: historicalborrowlong.pdf
Vignettes: Methods (source)

Downloads:

Package source: historicalborrowlong_0.1.0.tar.gz
Windows binaries: r-devel: historicalborrowlong_0.1.0.zip, r-release: historicalborrowlong_0.1.0.zip, r-oldrel: historicalborrowlong_0.1.0.zip
macOS binaries: r-release (arm64): historicalborrowlong_0.1.0.tgz, r-oldrel (arm64): historicalborrowlong_0.1.0.tgz, r-release (x86_64): historicalborrowlong_0.1.0.tgz, r-oldrel (x86_64): historicalborrowlong_0.1.0.tgz
Old sources: historicalborrowlong archive

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