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BayesGWQS  

Bayesian Grouped Weighted Quantile Sum Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesGWQS", "0.1.1")



Attach the package and use:
library("BayesGWQS")
Maintained by
Matthew Carli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-12
Latest Update: 2022-01-20
Description:
Fits Bayesian grouped weighted quantile sum (BGWQS) regressions for one or more chemical groups with binary outcomes. Wheeler DC et al. (2019) .
How to cite:
Matthew Carli (2020). BayesGWQS: Bayesian Grouped Weighted Quantile Sum Regression. R package version 0.1.1, https://cran.r-project.org/web/packages/BayesGWQS. Accessed 03 Jul. 2026.
Previous versions and publish date:
0.0.1 (2020-06-12 10:30), 0.0.2 (2020-06-23 17:30)
Other packages that cited BayesGWQS R package
View BayesGWQS citation profile
Other R packages that BayesGWQS depends, imports, suggests or enhances
Complete documentation for BayesGWQS
Functions, R codes and Examples using the BayesGWQS R package
Some associated functions: bgwqs.fit . make.X . make.x.s . simdata . weight.plot . 
Some associated R codes: bgwqs.fit.R . data.R . make.X.R . make.x.s.R . model_gen_fns.R . quantile.fn.R . squeeze2.R . weight.plot.R . zscore.fn.R .  Full BayesGWQS package functions and examples
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