Parallel Chain Tools for Bayesian Kernel Machine Regression
Description
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.
; .