Package: groupWQS 0.0.3

groupWQS: Grouped Weighted Quantile Sum Regression

Fits weighted quantile sum (WQS) regressions for one or more chemical groups with continuous or binary outcomes. Wheeler D, Czarnota J.(2016) <doi:10.1289/isee.2016.4698>.

Authors:David Wheeler, Matthew Carli

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groupWQS.pdf |groupWQS.html✨
groupWQS/json (API)

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

2.00 score 4 scripts 183 downloads 1 mentions 4 exports 7 dependencies

Last updated 5 years agofrom:74d4ebee1f. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winNOTEMar 24 2025
R-4.5-macNOTEMar 24 2025
R-4.5-linuxNOTEMar 24 2025
R-4.4-winNOTEMar 24 2025
R-4.4-macNOTEMar 24 2025
R-4.4-linuxNOTEMar 24 2025
R-4.3-winNOTEMar 24 2025
R-4.3-macNOTEMar 24 2025

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

Dependencies:codaglm2latticeMASSrjagsRsolnptruncnorm

groupWQS Vignette

Matthew Carli, Salem Rustom, David Wheeler

Rendered fromgroupWQS.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2020-06-27
Started: 2020-06-17