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>.
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