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: | 1.1.3 |
Depends: | coda, R (≥ 3.5.0) |
Imports: | bkmr, data.table, future, rstan |
Suggests: | knitr, markdown |
Published: | 2022-03-29 |
DOI: | 10.32614/CRAN.package.bkmrhat |
Author: | Alexander Keil [aut, cre] |
Maintainer: | Alexander Keil <akeil at unc.edu> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | bkmrhat results |
Reference manual: | bkmrhat.pdf |
Vignettes: |
The bkmrhat package: inference and diagnostics examples |
Package source: | bkmrhat_1.1.3.tar.gz |
Windows binaries: | r-devel: bkmrhat_1.1.3.zip, r-release: bkmrhat_1.1.3.zip, r-oldrel: bkmrhat_1.1.3.zip |
macOS binaries: | r-devel (arm64): bkmrhat_1.1.3.tgz, r-release (arm64): bkmrhat_1.1.3.tgz, r-oldrel (arm64): bkmrhat_1.1.3.tgz, r-devel (x86_64): bkmrhat_1.1.3.tgz, r-release (x86_64): bkmrhat_1.1.3.tgz, r-oldrel (x86_64): bkmrhat_1.1.3.tgz |
Old sources: | bkmrhat archive |
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