Parallel Chain Tools for Bayesian Kernel Machine Regression R package bkmrhat version 1.1.7 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>. Software Depends: coda, R (>= 3.5.0) Imports: bkmr, data.table, future, rstan Suggests: knitr, markdown Alexander Keil <alex.keil@nih.gov> Comprehensive R Archive Network (CRAN) Alexander Keil [aut, cre] GPL (>= 3) 2025-11-30 application/tgz https://CRAN.R-project.org/package=bkmrhat doi:10.32614/CRAN.package.bkmrhat en-US