Generalized Weighted Quantile Sum Regression R package gWQS version 3.0.5 Fits Weighted Quantile Sum (WQS) regression (Carrico et al. (2014) <doi:10.1007/s13253-014-0180-3>), a random subset implementation of WQS (Curtin et al. (2019) <doi:10.1080/03610918.2019.1577971>), a repeated holdout validation WQS (Tanner et al. (2019) <doi:10.1016/j.mex.2019.11.008>) and a WQS with 2 indices (Renzetti et al. (2023) <doi:10.3389/fpubh.2023.1289579>) for continuous, binomial, multinomial, Poisson, quasi-Poisson and negative binomial outcomes. Software Depends: R (>= 3.5.0) Imports: ggplot2, stats, broom, rlist, MASS, reshape2, plotROC, knitr, kableExtra, nnet, future, future.apply, pscl, ggrepel, cowplot, Matrix, car, utils, bookdown Suggests: markdown Stefano Renzetti <stefano.renzetti88@gmail.com> Comprehensive R Archive Network (CRAN) Stefano Renzetti [aut, cre], Paul Curtin [aut], Allan C Just [ctb], Ghalib Bello [ctb], Chris Gennings [aut] GPL (>= 2) 2023-11-16 application/tgz https://CRAN.R-project.org/package=gWQS doi:10.32614/CRAN.package.gWQS