Package: BMSC
Title: Bayesian Model Selection under Constraints
Version: 0.2.0
Authors@R: c(
    person("Marcus", "Groß", email = "marcus.gross@inwt-statistics.de", role = c("aut", "cre")),
    person("Ricardo", "Fernandes", email = "ldv1452@gmail.com", role = c("aut")),
    person("Mira Celine", "Klein", email = "mira.klein@inwt-statistics.de", role = c("ctb"))
    )
Description: A Bayesian regression package supporting constrained coefficient estimation and
     variable selection using Stan. This includes a robust variable selection
    algorithm by a horseshoe prior  (<doi:10.1093/biomet/asq017>) that finds the optimal model considering main effects,
    interactions as well as powers of given variables under potential parameter constraints.
Depends: R (>= 3.4.0), Rcpp (>= 0.12.0), methods
Imports: dplyr (>= 0.7.4), ggplot2 (>= 2.2.1), loo (>= 2.0.0), rstan
        (>= 2.18.1), rstantools (>= 1.5.1), R.utils (>= 2.6.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
LinkingTo: StanHeaders (>= 2.18.0), rstan (>= 2.18.2), BH (>= 1.66.0),
        Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0)
Suggests: lintr, testthat
RoxygenNote: 6.1.0
NeedsCompilation: yes
Packaged: 2019-04-16 14:30:29 UTC; mgross
Author: Marcus Groß [aut, cre],
  Ricardo Fernandes [aut],
  Mira Celine Klein [ctb]
Maintainer: Marcus Groß <marcus.gross@inwt-statistics.de>
Repository: CRAN
Date/Publication: 2019-04-16 15:25:42 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 22:35:06 UTC; windows
Archs: i386, x64
