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groupWQS  

Grouped Weighted Quantile Sum Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("groupWQS", "0.0.3")



Attach the package and use:
library("groupWQS")
Maintained by
Matthew Carli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-07
Latest Update: 2020-06-27
Description:
Fits weighted quantile sum (WQS) regressions for one or more chemical groups with continuous or binary outcomes. Wheeler D, Czarnota J.(2016) .
How to cite:
Matthew Carli (2020). groupWQS: Grouped Weighted Quantile Sum Regression. R package version 0.0.3, https://cran.r-project.org/web/packages/groupWQS. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.0.1 (2020-04-07 16:50), 0.0.2 (2020-06-18 00:10)
Other packages that cited groupWQS R package
View groupWQS citation profile
Other R packages that groupWQS depends, imports, suggests or enhances
Complete documentation for groupWQS
Functions, R codes and Examples using the groupWQS R package
Some associated functions: WQSdata . gwqs.fit . make.X . make.x.s . simdata . weight.plot . 
Some associated R codes: bin_obj_fns.R . cont_obj_fns.R . data.R . error_checks.R . gwqs.fit.R . ineq_constraint_fns.R . internal_fit_fns.R . linear_constraint_fns.R . make.X.R . make.x.s.R . quantile.fn.R . teststat.fn2.R . vignette_data.R . weight.plot.R .  Full groupWQS package functions and examples
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