Package: Mhorseshoe
Title: Approximate Algorithm for Horseshoe Prior
Version: 0.1.2
Authors@R: c(
    person("Kang", "Mingi", , "leehuimin115@g.skku.edu", role = c("aut","cre")),
    person("Lee", "Kyoungjae", , "leekjstat@gmail.com", role = "aut"))
Description: Provides an approximate algorithm for the horseshoe estimator
    used in Bayesian linear models. By implementing a sampler with high
    computational cost in the 'Rcpp' package and using an approximate algorithm
    that reduces matrix calculation complexity, parameter estimation speed for
    high-dimensional sparse data is faster. The approximate algorithm is
    described in Johndrow et al. (2020)
    <https://www.jmlr.org/papers/v21/19-536.html>.
Encoding: UTF-8
Imports: stats, Rcpp (>= 1.0.11)
LinkingTo: Rcpp
RoxygenNote: 7.2.3
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, ggplot2, horseshoe
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-11-23 04:23:29 UTC; rkdal
Author: Kang Mingi [aut, cre],
  Lee Kyoungjae [aut]
Maintainer: Kang Mingi <leehuimin115@g.skku.edu>
Repository: CRAN
Date/Publication: 2023-11-24 09:20:10 UTC
Built: R 4.2.3; aarch64-apple-darwin20; 2023-11-24 11:25:46 UTC; unix
Archs: Mhorseshoe.so.dSYM
