Description
Bayesian Kernel Machine Regression.
Description
Implementation of a statistical approach for estimating the joint health effects of multiple concurrent exposures, as described in Bobb et al (2015) <doi:10.1093/biostatistics/kxu058>.
README.md
The R package bkmr implements Bayesian kernel machine regression, a statistical approach for estimating the joint health effects of multiple concurrent exposures. Additional information on the statistical methodology and on the computational details are provided in Bobb et al. 2015. More recent extensions, details on the software, and worked-through examples are provided in Bobb et al. 2018.
You can install the latest released version of bkmr from CRAN with:
install.packages("bkmr")
Or the latest development version from github with:
install.packages("devtools")
devtools::install_github("jenfb/bkmr")
For a general overview and guided examples, go to https://jenfb.github.io/bkmr/overview.html.
For examples from the software paper, please see
- https://jenfb.github.io/bkmr/SimData1
- https://jenfb.github.io/bkmr/ProbitEx.