Package: bkmrhat
Title: Parallel Chain Tools for Bayesian Kernel Machine Regression
Version: 1.1.7
Date: 2025-11-19
Authors@R: 
    person("Alexander", "Keil", email="alex.keil@nih.gov", role = c("aut", "cre"))
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. ;
        <doi:10.1186/s12940-018-0413-y>.
License: GPL (>= 3)
URL: https://github.com/alexpkeil1/bkmrhat/
BugReports: https://github.com/alexpkeil1/bkmrhat/issues
Depends: coda, R (>= 3.5.0)
Imports: bkmr, data.table, future, rstan
Suggests: knitr, markdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Config/pak/sysreqs: make libicu-dev
Repository: https://alexpkeil1.r-universe.dev
Date/Publication: 2025-11-24 18:35:51 UTC
RemoteUrl: https://github.com/alexpkeil1/bkmrhat
RemoteRef: HEAD
RemoteSha: 6b5ea188a9be71fd8b9213050727feafcb475e3b
NeedsCompilation: no
Packaged: 2026-06-22 09:39:05 UTC; root
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <alex.keil@nih.gov>