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>.
Package details |
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Author | Alexander Keil [aut, cre] |
Maintainer | Alexander Keil <akeil@unc.edu> |
License | GPL (>= 3) |
Version | 1.1.3 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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