gWQS: Generalized Weighted Quantile Sum Regression

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

Version: 2.0.1
Imports: Rsolnp, ggplot2, dplyr, stats, broom, rlist, MASS, reshape2, plotROC, knitr, kableExtra, nnet, future, future.apply, ggrepel
Suggests: pscl, gridExtra, VGAM, AER, rmarkdown, devtools
Published: 2020-03-03
Author: Stefano Renzetti, Paul Curtin, Allan C Just, Ghalib Bello, Chris Gennings
Maintainer: Stefano Renzetti <stefano.renzetti88 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: gWQS results


Reference manual: gWQS.pdf
Vignettes: gWQS
Package source: gWQS_2.0.1.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: gWQS_2.0.1.tgz, r-oldrel: gWQS_2.0.1.tgz
Old sources: gWQS archive

Reverse dependencies:

Reverse imports: gWQSRS


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