Package: bws 0.1.0

Phuc H. Nguyen

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.

Authors:Phuc H. Nguyen [aut, cre]

bws_0.1.0.tar.gz
bws_0.1.0.tar.gz(r-4.5-noble)bws_0.1.0.tar.gz(r-4.4-noble)
bws.pdf |bws.html✨
bws/json (API)
NEWS

# Install 'bws' in R:
install.packages('bws', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.70 score 5 scripts 257 downloads 1 exports 53 dependencies

Last updated 2 years agofrom:773d3062ba. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linux-x86_64NOTENov 25 2024

Exports:bws

Dependencies:abindbackportsBHcallrcheckmateclicolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr