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bws  

Bayesian Weighted Sums
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bws", "0.1.0")



Attach the package and use:
library("bws")
Maintained by
Phuc H. Nguyen
[Scholar Profile | Author Map]
First Published: 2022-08-12
Latest Update: 2022-08-12
Description:
An interface to the Bayesian Weighted Sums model implemented in 'RStan'. It estimates the summed effect of multiple, often moderately to highly correlated, continuous predictors. Its applications can be found in analysis of exposure mixtures. The model was proposed by Hamra, Maclehose, Croen, Kauffman, and Newschaffer (2021) . This implementation includes an extension to model binary outcome.
How to cite:
Phuc H. Nguyen (2022). bws: Bayesian Weighted Sums. R package version 0.1.0, https://cran.r-project.org/web/packages/bws. Accessed 04 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited bws R package
View bws citation profile
Other R packages that bws depends, imports, suggests or enhances
Complete documentation for bws
Functions, R codes and Examples using the bws R package
Some associated functions: bws-package . bws . 
Some associated R codes: bws-package.R . bws.R . stanmodels.R .  Full bws package functions and examples
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