Package: bayeslm
Type: Package
Title: Efficient Sampling for Gaussian Linear Regression with Arbitrary
        Priors
Version: 1.0.1
Date: 2022-6-25
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) <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: 2022-06-27 02:09:32 UTC; jingyuhe
Author: Jingyu He [aut, cre],
  P. Richard Hahn [aut],
  Hedibert Lopes [aut],
  Andrew Herren [ctb]
Repository: CRAN
Date/Publication: 2022-06-27 22:50:02 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 14:51:48 UTC; windows
Archs: i386, x64
