bws: Bayesian Weighted Sums

An interface to the Bayesian Weighted Sums model implemented in 'RStan'. It estimates the summed effect of multiple, often moderately to highly correlated, continuous predictors. Its applications can be found in analysis of exposure mixtures. The model was proposed by Hamra, Maclehose, Croen, Kauffman, and Newschaffer (2021) <doi:10.3390/ijerph18041373>. This implementation includes an extension to model binary outcome.

Version:	0.1.0
Depends:	R (≥ 3.4.0)
Imports:	methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.1.1)
LinkingTo:	BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests:	testthat (≥ 3.0.0)
Published:	2022-08-12
DOI:	10.32614/CRAN.package.bws
Author:	Phuc H. Nguyen [aut, cre]
Maintainer:	Phuc H. Nguyen <phuc.nguyen.rcran at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
SystemRequirements:	GNU make
Materials:	README NEWS
CRAN checks:	bws results

Documentation:

Reference manual:

bws.pdf

Downloads:

Package source:	bws_0.1.0.tar.gz
Windows binaries:	r-devel: bws_0.1.0.zip, r-release: bws_0.1.0.zip, r-oldrel: bws_0.1.0.zip
macOS binaries:	r-release (arm64): bws_0.1.0.tgz, r-oldrel (arm64): bws_0.1.0.tgz, r-release (x86_64): bws_0.1.0.tgz, r-oldrel (x86_64): bws_0.1.0.tgz

Reverse dependencies:

Reverse suggests:

mpower

Linking:

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