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

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