BayesGWQS: Bayesian Grouped Weighted Quantile Sum Regression

Fits Bayesian grouped weighted quantile sum (BGWQS) regressions for one or more chemical groups with binary outcomes. Wheeler DC et al. (2019) <doi:10.1016/j.sste.2019.100286>.

Version: 0.1.1
Depends: R (≥ 4.0.0)
Imports: coda, stats, rjags, stringr, plyr
Suggests: testthat
Published: 2022-01-20
Author: David Wheeler, Matthew Carli
Maintainer: Matthew Carli <carlimm at mymail.vcu.edu>
License: GPL-3
NeedsCompilation: no
SystemRequirements: JAGS
Materials: NEWS
In views: Bayesian
CRAN checks: BayesGWQS results

Documentation:

Reference manual: BayesGWQS.pdf

Downloads:

Package source: BayesGWQS_0.1.1.tar.gz
Windows binaries: r-devel: BayesGWQS_0.1.1.zip, r-release: BayesGWQS_0.1.1.zip, r-oldrel: BayesGWQS_0.1.1.zip
macOS binaries: r-release (arm64): BayesGWQS_0.1.1.tgz, r-oldrel (arm64): BayesGWQS_0.1.1.tgz, r-release (x86_64): BayesGWQS_0.1.1.tgz, r-oldrel (x86_64): BayesGWQS_0.1.1.tgz
Old sources: BayesGWQS archive

Linking:

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