Package: gWQS
Type: Package
Title: Generalized Weighted Quantile Sum Regression
Version: 3.0.4
Author: Stefano Renzetti, Paul Curtin, Allan C Just, Ghalib Bello, Chris Gennings
Maintainer: Stefano Renzetti <stefano.renzetti88@gmail.com>
Description: 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>) and a repeated holdout validation WQS (Tanner et al. (2019) <doi:10.1016/j.mex.2019.11.008>) for continuous, binomial, multinomial, Poisson, quasi-Poisson and negative binomial outcomes.
Imports: ggplot2, dplyr, stats, broom, rlist, MASS, reshape2, plotROC,
        knitr, kableExtra, nnet, future, future.apply, pscl, ggrepel,
        cowplot, Matrix
Suggests: markdown
License: GPL (>= 2)
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-05-20 08:34:27 UTC; stefanorenzetti
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-05-20 09:30:02 UTC
Built: R 4.1.3; ; 2023-04-17 19:10:35 UTC; windows
