gWQS: Generalized Weighted Quantile Sum Regression

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.

Package details

AuthorStefano Renzetti, Paul Curtin, Allan C Just, Ghalib Bello, Chris Gennings
MaintainerStefano Renzetti <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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gWQS documentation built on May 20, 2021, 5:06 p.m.