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bkmrhat: Parallel Chain Tools for Bayesian Kernel Machine Regression

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. ; <doi:10.1186/s12940-018-0413-y>.

Version:1.1.7
Depends:coda, R (≥ 3.5.0)
Imports:bkmr,data.table,future,rstan
Suggests:knitr,markdown
Published:2025-11-30
DOI:10.32614/CRAN.package.bkmrhat
Author:Alexander Keil [aut, cre]
Maintainer:Alexander Keil <alex.keil at nih.gov>
BugReports:https://github.com/alexpkeil1/bkmrhat/issues
License:GPL (≥ 3)
URL:https://github.com/alexpkeil1/bkmrhat/
NeedsCompilation:no
Language:en-US
Materials:README,NEWS
CRAN checks:bkmrhat results

Documentation:

Reference manual:bkmrhat.html ,bkmrhat.pdf
Vignettes:The bkmrhat package: inference and diagnostics examples (source,R code)

Downloads:

Package source: bkmrhat_1.1.7.tar.gz
Windows binaries: r-devel:bkmrhat_1.1.7.zip, r-release:bkmrhat_1.1.7.zip, r-oldrel:bkmrhat_1.1.7.zip
macOS binaries: r-release (arm64):bkmrhat_1.1.7.tgz, r-oldrel (arm64):bkmrhat_1.1.7.tgz, r-release (x86_64):bkmrhat_1.1.7.tgz, r-oldrel (x86_64):bkmrhat_1.1.7.tgz
Old sources: bkmrhat archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bkmrhatto link to this page.


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