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  "Title": "Permutation Test for Weighted Quantile Sum Regression",
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  "Description": "Implements a permutation test method for the weighted\nquantile sum (WQS) regression, building off the 'gWQS' package\n(Renzetti et al. <https://CRAN.R-project.org/package=gWQS>).\nWeighted quantile sum regression is a statistical technique to\nevaluate the effect of complex exposure mixtures on an outcome\n(Carrico et al. 2015 <doi:10.1007/s13253-014-0180-3>). The\nmodel features a statistical power and Type I error (i.e.,\nfalse positive) rate trade-off, as there is a machine learning\nstep to determine the weights that optimize the linear model\nfit. This package provides an alternative method based on a\npermutation test that should reliably allow for both high power\nand low false positive rate when utilizing WQS regression (Day\net al. 2022 <doi:10.1289/EHP10570>).",
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