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. <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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling linux/jammy R-4.5 | wqspt_1.0.2.tar.gz |
225.9 KiB |
1.0.2 |
rolling linux/noble R-4.5 | wqspt_1.0.2.tar.gz |
225.9 KiB |
1.0.2 |
rolling source/ R- | wqspt_1.0.2.tar.gz |
4.1 MiB |
1.0.2 |
latest linux/jammy R-4.5 | wqspt_1.0.2.tar.gz |
225.9 KiB |
1.0.2 |
latest linux/noble R-4.5 | wqspt_1.0.2.tar.gz |
225.9 KiB |
1.0.2 |
latest source/ R- | wqspt_1.0.2.tar.gz |
4.1 MiB |
1.0.2 |
2026-04-26 source/ R- | wqspt_1.0.2.tar.gz |
4.1 MiB |
1.0.2 |
2026-04-23 source/ R- | wqspt_1.0.2.tar.gz |
4.1 MiB |
1.0.2 |
2026-04-09 windows/windows R-4.5 | wqspt_1.0.2.zip |
226.2 KiB |
1.0.2 |
2025-04-20 source/ R- | wqspt_1.0.2.tar.gz |
4.1 MiB |