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
Config/pak/sysreqs: make
Repository: https://jingyuhe.r-universe.dev
Date/Publication: 2026-04-03 17:59:30 UTC
RemoteUrl: https://github.com/jingyuhe/bayeslm
RemoteRef: HEAD
RemoteSha: e060ac1055ffe91b1c052c3dd819d8e82e595e6d
Packaged: 2026-07-09 05:47:14 UTC; root
Author: Jingyu He [aut, cre],
  P. Richard Hahn [aut],
  Hedibert Lopes [aut],
  Andrew Herren [ctb]