Package: bayeslm
Type: Package
Title: Efficient Sampling for Gaussian Linear Regression with Arbitrary
        Priors
Version: 2.0
Date: 2026-04-04
Authors@R: c(
    person("Jingyu", "He", , "jingyuhe@cityu.edu.hk", c("aut", "cre")),
    person("P. Richard", "Hahn", role = "aut"),
    person("Hedibert", "Lopes", role = "aut"),
    person("Andrew", "Herren", role = "ctb"))
Maintainer: Jingyu He <jingyuhe@cityu.edu.hk>
Description: Efficient sampling for Gaussian linear regression with
        arbitrary priors, Hahn, He and Lopes (2018)
        <doi:10.48550/arXiv.1806.05738>.
License: LGPL (>= 2)
Imports: Rcpp (>= 0.12.7), stats, graphics, grDevices, coda, methods,
        RcppParallel
SystemRequirements: GNU make
Depends: R (>= 2.10)
URL: https://github.com/JingyuHe/bayeslm
NeedsCompilation: yes
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
Packaged: 2026-10-29 10:12:25 UTC; root
Author: Jingyu He [aut, cre], P. Richard Hahn [aut], Hedibert Lopes
        [aut], Andrew Herren [ctb]
Config/pak/sysreqs: make
Repository: https://cran.r-universe.dev
Date/Publication: 2026-04-03 22:56:38 UTC
RemoteUrl: https://github.com/cran/bayeslm
RemoteRef: HEAD
RemoteSha: 3784e4710831755757787a8090038e31cb4cc17e