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. ; .


Reference manual

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1.1.1 by Alexander Keil, 3 months ago

Browse source code at

Authors: Alexander Keil [aut, cre]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports bkmr, data.table, future, rstan

Depends on coda

Suggests knitr, markdown

See at CRAN