gWQSRS: Generalized Weighted Quantile Sum Regression Random Subset

Fits Weighted Quantile Sum Random Subset (WQSRS) regressions for continuous, binomial, multinomial and count outcomes. Paul Curtin, Joshua Kellogg, Nadja Cech, Chris Gennings (2019) <doi:10.1080/03610918.2019.1577971>.

Version: 1.0.0
Imports: Rsolnp, gWQS (≥ 2.0.0), ggplot2, dplyr, stats, broom, rlist, MASS, reshape2, plotROC, knitr, kableExtra, nnet, future, future.apply, ggrepel, pscl
Published: 2019-08-30
Author: Stefano Renzetti, Paul Curtin, Chris Gennings
Maintainer: Stefano Renzetti <stefano.renzetti88 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: gWQSRS results


Reference manual: gWQSRS.pdf
Package source: gWQSRS_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: gWQSRS_1.0.0.tgz, r-oldrel: gWQSRS_1.0.0.tgz


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