The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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
DOI: 10.32614/CRAN.package.BayesGWQS
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:

Please use the canonical form https://CRAN.R-project.org/package=BayesGWQS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.