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wqspt  

Permutation Test for Weighted Quantile Sum Regression
View on CRAN: Click here


Download and install wqspt package within the R console
Install from CRAN:
install.packages("wqspt")

Install from Github:
library("remotes")
install_github("cran/wqspt")

Install by package version:
library("remotes")
install_version("wqspt", "1.0.1")



Attach the package and use:
library("wqspt")
Maintained by
Drew Day
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-06
Latest Update: 2023-03-06
Description:
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>).
How to cite:
Drew Day (2023). wqspt: Permutation Test for Weighted Quantile Sum Regression. R package version 1.0.1, https://cran.r-project.org/web/packages/wqspt
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Functions, R codes and Examples using the wqspt R package
Some associated functions: wqs_full_perm . wqs_pt . wqs_sim . wqspt_plot . 
Some associated R codes: wqs_full_perm.R . wqs_pt.R . wqs_sim.R . wqspt_plot.R .  Full wqspt package functions and examples
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