wqspt
Permutation Test for Weighted Quantile Sum Regression
Implements a permutation test method for the weighted quantile sum (WQS) regression, building off the 'gWQS' package (Renzetti et al. (2021) https://CRAN.R-project.org/package=gWQS). Weighted quantile sum regression is a statistical technique to evaluate the effect of complex exposure mixtures on an outcome (Carrico et al. (2015) doi:10.1007/s13253-014-0180-3). 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) doi:10.1289/EHP10570).
- Version1.0.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release03/06/2023
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Team
Drew Day
James Peng
Show author detailsRolesAuthorAdam Szpiro
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- Imports8 packages
- Suggests3 packages