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: | 1.0.2 |
| Depends: | coda, R (≥ 3.5.0) |
| Imports: | bkmr, future, rstan |
| Suggests: | knitr, markdown |
| Published: | 2021-02-17 |
| Author: | Alexander Keil [aut, cre] |
| Maintainer: | Alexander Keil <akeil at unc.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | bkmrhat results |
| Reference manual: | bkmrhat.pdf |
| Vignettes: |
The bkmrhat package: inference and diagnostics examples |
| Package source: | bkmrhat_1.0.2.tar.gz |
| Windows binaries: | r-devel: bkmrhat_1.0.2.zip, r-release: bkmrhat_1.0.2.zip, r-oldrel: bkmrhat_1.0.2.zip |
| macOS binaries: | r-release: bkmrhat_1.0.2.tgz, r-oldrel: bkmrhat_1.0.2.tgz |
| Old sources: | bkmrhat archive |
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