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-4.7-arm64)bws_0.1.0.tar.gz(r-4.7-x86_64)bws_0.1.0.tar.gz(r-4.6-arm64)bws_0.1.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
bws/json (API)
NEWS

# Install 'bws' in R:
install.packages('bws', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.74 score 11 scripts 247 downloads 1 exports 47 dependencies

Last updated from:773d3062ba. Checks:4 NOTE, 1 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE295
linux-devel-x86_64NOTE307
source / vignettesOK331
linux-release-arm64NOTE302
linux-release-x86_64NOTE301
wasm-releaseFAIL160

Exports:bws

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr