Package: BayesGWQS 0.1.1

Matthew Carli

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>.

Authors:David Wheeler, Matthew Carli

BayesGWQS_0.1.1.tar.gz
BayesGWQS_0.1.1.tar.gz(r-4.5-noble)BayesGWQS_0.1.1.tar.gz(r-4.4-noble)
BayesGWQS_0.1.1.tgz(r-4.4-emscripten)BayesGWQS_0.1.1.tgz(r-4.3-emscripten)
BayesGWQS.pdf |BayesGWQS.html✨
BayesGWQS/json (API)
NEWS

# Install 'BayesGWQS' in R:
install.packages('BayesGWQS', repos = 'https://cloud.r-project.org')
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • simdata - Simulated data of chemical concentrations and one binary outcome variable

On CRAN:

Conda:

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

jagscpp

1.00 score 1 stars 278 downloads 1 mentions 4 exports 13 dependencies

Last updated 3 years agofrom:cd612d26c0. Checks:1 OK, 2 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 18 2025
R-4.5-linuxNOTEMar 18 2025
R-4.4-linuxNOTEMar 18 2025

Exports:bgwqs.fitmake.Xmake.x.sweight.plot

Dependencies:clicodagluelatticelifecyclemagrittrplyrRcpprjagsrlangstringistringrvctrs

Citation

To cite package ‘BayesGWQS’ in publications use:

Wheeler D, Carli M (2022). BayesGWQS: Bayesian Grouped Weighted Quantile Sum Regression. R package version 0.1.1, https://CRAN.R-project.org/package=BayesGWQS.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {BayesGWQS: Bayesian Grouped Weighted Quantile Sum
      Regression},
    author = {David Wheeler and Matthew Carli},
    year = {2022},
    note = {R package version 0.1.1},
    url = {https://CRAN.R-project.org/package=BayesGWQS},
  }