gWQS: Generalized Weighted Quantile Sum Regression

Fits Weighted Quantile Sum (WQS) regressions for continuous, binomial, multinomial and count outcomes.

Version: 3.0.1
Depends: R (≥ 3.5.0)
Imports: ggplot2, dplyr, stats, broom, rlist, MASS, reshape2, plotROC, knitr, kableExtra, nnet, future, future.apply, pscl, ggrepel, cowplot
Published: 2020-11-19
Author: Stefano Renzetti, Paul Curtin, Allan C Just, Ghalib Bello, Chris Gennings
Maintainer: Stefano Renzetti <stefano.renzetti88 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: gWQS results

Downloads:

Reference manual: gWQS.pdf
Vignettes: How to use gWQS package
Package source: gWQS_3.0.1.tar.gz
Windows binaries: r-devel: gWQS_3.0.1.zip, r-release: gWQS_3.0.1.zip, r-oldrel: gWQS_3.0.1.zip
macOS binaries: r-release: gWQS_3.0.1.tgz, r-oldrel: gWQS_3.0.1.tgz
Old sources: gWQS archive

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