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bkmrhat  

Parallel Chain Tools for Bayesian Kernel Machine Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bkmrhat", "1.1.7")



Attach the package and use:
library("bkmrhat")
Maintained by
Alexander Keil
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-16
Latest Update: 2022-03-29
Description:
Bayesian kernel machine regression (from the 'bkmr' package) is a Bayesian semi-parametric generalized linear model approach under identity and probit links. There are a number of functions in this package that extend Bayesian kernel machine regression fits to allow multiple-chain inference and diagnostics, which leverage functions from the 'future', 'rstan', and 'coda' packages. Reference: Bobb, J. F., Henn, B. C., Valeri, L., & Coull, B. A. (2018). Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression. ; .
How to cite:
Alexander Keil (2020). bkmrhat: Parallel Chain Tools for Bayesian Kernel Machine Regression. R package version 1.1.7, https://cran.r-project.org/web/packages/bkmrhat. Accessed 03 Jul. 2026.
Previous versions and publish date:
0.1.16 (2020-09-16 11:10), 1.0.0 (2020-10-12 10:00), 1.0.1 (2021-01-26 22:10), 1.0.2 (2021-02-17 21:30), 1.1.1 (2021-09-07 21:10), 1.1.2 (2022-03-07 15:20), 1.1.3 (2022-03-29 10:50)
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Complete documentation for bkmrhat
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