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>. Wheeler DC et al. (2020) <doi:10.3390/ijerph17082864>.

Version: 0.0.2
Depends: R (≥ 3.6.0)
Imports: coda, stats, rjags
Suggests: R2OpenBUGS, testthat
Published: 2020-06-23
Author: David Wheeler, Matthew Carli
Maintainer: Matthew Carli <carlimm at mymail.vcu.edu>
License: GPL-3
NeedsCompilation: no
SystemRequirements: OpenBUGS, JAGS
CRAN checks: BayesGWQS results

Downloads:

Reference manual: BayesGWQS.pdf
Package source: BayesGWQS_0.0.2.tar.gz
Windows binaries: r-devel: BayesGWQS_0.0.2.zip, r-release: BayesGWQS_0.0.2.zip, r-oldrel: BayesGWQS_0.0.2.zip
macOS binaries: r-release: BayesGWQS_0.0.2.tgz, r-oldrel: BayesGWQS_0.0.2.tgz
Old sources: BayesGWQS archive

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