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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.
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