Package: bkmrhat
Title: Parallel Chain Tools for Bayesian Kernel Machine Regression
Version: 0.1.16
Date: 2020-09-08
Authors@R: 
    person(given = "Alexander",
           family = "Keil",
           role = c("aut", "cre"),
           email = "akeil@unc.edu")
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <akeil@unc.edu>
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)
Depends: coda, R (>= 3.5.0)
Imports: bkmr, future, rstan
Suggests: knitr, markdown
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-09-08 14:58:53 UTC; akeil
Repository: CRAN
Date/Publication: 2020-09-16 09:10:12 UTC
