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 (≥, 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 ORCID iD [aut, cre]
Maintainer: Phuc H. Nguyen <phuc.nguyen.rcran at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
CRAN checks: bws results


Reference manual: bws.pdf


Package source: bws_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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