Package: wqspt 1.0.2

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>).

Authors:Drew Day [aut, cre], James Peng [aut], Adam Szpiro [aut]

wqspt_1.0.2.tar.gz
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wqspt.pdf |wqspt.html
wqspt/json (API)
NEWS

# Install 'wqspt' in R:
install.packages('wqspt', repos = c('https://drewdstat.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/drewdstat/wqspt/issues

On CRAN:

Conda:

4.48 score 2 scripts 217 downloads 4 exports 119 dependencies

Last updated 14 days agofrom:e2d43bb4eb. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-winOKMar 17 2025
R-4.5-macOKMar 17 2025
R-4.5-linuxOKMar 17 2025
R-4.4-winOKMar 17 2025
R-4.4-macOKMar 17 2025
R-4.4-linuxOKMar 17 2025
R-4.3-winOKMar 17 2025
R-4.3-macOKMar 17 2025

Exports:wqs_full_permwqs_ptwqs_simwqspt_plot

Dependencies:abindbackportsbase64encbookdownbootbroombslibcachemcarcarDataclicodetoolscolorspacecommonmarkcowplotcpp11crayondata.tableDerivdigestdoBydplyrevaluateextraDistrfansifarverfastmapfontawesomeFormulafsfuturefuture.applygenericsggplot2ggrepelglobalsgluegridExtragridSVGgtablegWQShighrhtmltoolshttpuvisobandjquerylibjsonlitekableExtraknitrlabelinglaterlatticelifecyclelistenvlme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivparallellypbapplypbkrtestpillarpkgconfigplotROCplyrpromisespsclpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasreshape2rlangrlistrmarkdownrstudioapisassscalesshinysourcetoolsSparseMstringistringrsurvivalsvglitesystemfontstibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunXMLxml2xtableyaml

How to use the wqspt package

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Mar 17 2025.

Last update: 2025-03-06
Started: 2021-11-12