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>).
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
rlang, gWQS, pbapply, ggplot2, mvtnorm, viridis, extraDistr, cowplot, methods |
| Suggests: |
rmarkdown, knitr, testthat (≥ 3.0.0) |
| Published: |
2023-03-06 |
| DOI: |
10.32614/CRAN.package.wqspt |
| Author: |
Drew Day [aut, cre],
James Peng [aut],
Adam Szpiro [aut] |
| Maintainer: |
Drew Day <Drew.Day at seattlechildrens.org> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
wqspt results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=wqspt
to link to this page.