Package: wqspt Title: Permutation Test for Weighted Quantile Sum Regression Version: 1.0.2 Author: Drew Day [aut, cre], James Peng [aut], Adam Szpiro [aut] Maintainer: Drew Day Authors@R: c( person("Drew", "Day", email = "dday612@gmail.com", role = c("aut", "cre")), person("James", "Peng", email = "jpspeng@uw.edu", role = "aut"), person("Adam", "Szpiro", email = "aszpiro@uw.edu", role = "aut")) Description: Implements a permutation test method for the weighted quantile sum (WQS) regression, building off the 'gWQS' package (Renzetti et al. ). Weighted quantile sum regression is a statistical technique to evaluate the effect of complex exposure mixtures on an outcome (Carrico et al. 2015 ). The model features a statistical power and Type I error (i.e., false positive) rate trade-off, as there is a machine learning step to determine the weights that optimize the linear model fit. This package provides an alternative method based on a permutation test that should reliably allow for both high power and low false positive rate when utilizing WQS regression (Day et al. 2022 ). License: GPL-3 Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Imports: rlang, gWQS, pbapply, ggplot2, mvtnorm, viridis, extraDistr, cowplot, methods, MASS, car, parallelly, future, future.apply, pscl, reshape2, nnet Suggests: rmarkdown, knitr, testthat (>= 3.0.0) VignetteBuilder: knitr Config/testthat/edition: 3 Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev make libharfbuzz-dev libicu-dev libpng-dev libuv1-dev libxml2-dev zlib1g-dev Repository: https://drewdstat.r-universe.dev Date/Publication: 2025-03-17 16:30:42 UTC RemoteUrl: https://github.com/drewdstat/wqspt RemoteRef: HEAD RemoteSha: e2d43bb4ebf46f504a27d84836617d686822d470 NeedsCompilation: no Packaged: 2026-10-19 08:44:26 UTC; root Depends: R (>= 3.5.0)