gWQS is a package from the statistical software R that fits Weighted Quantile Sum (WQS) regression (Carrico et al. 2014), a random subset implementation of WQS (Curtin et al. 2019) and a repeated holdout validation WQS (Tanner et al. 2019) for continuous, binomial, multinomial, Poisson, quasi-Poisson and negative binomial outcomes.
gWQS: Generalized Weighted Quantile Sum Regression / Renzetti, Stefano; Curtin, Paul; C Just, Allan; Bello, Ghalib; Gennings, Chris. - (2016).
gWQS: Generalized Weighted Quantile Sum Regression
Stefano Renzetti;
2016-01-01
Abstract
gWQS is a package from the statistical software R that fits Weighted Quantile Sum (WQS) regression (Carrico et al. 2014), a random subset implementation of WQS (Curtin et al. 2019) and a repeated holdout validation WQS (Tanner et al. 2019) for continuous, binomial, multinomial, Poisson, quasi-Poisson and negative binomial outcomes.File in questo prodotto:
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