Package: PanCanVarSel
Title: Pan-Cancer Variable Selection
Version: 0.0.3
Authors@R: 
    c(person("Arnab", "Maity", email = "arnab.maity@pfizer.com", role = c("aut", "cre")),
      person("Antik", "Chakraborty", email = "antik.chakraborty@duke.edu", role = "aut"),
      person("Anirban", "Bhattacharya", email = "anirbanb@stat.tamu.edu", role = "aut"),
      person("Bani", "K. Mallick", email = "bmallick@stat.tamu.edu", role = "aut"),
      person("Veerabhadran", "Baladandayuthapani", email = "veerab@umich.edu", role = "aut"))
Description: Provides function for performing Bayesian survival regression using 
    Horseshoe prior in the accelerated failure time model with log normal assumption 
    in order to achieve high dimensional pan-cancer variable selection as developed in
    Maity et. al. (2019) <doi:10.1111/biom.13132>.
Depends: R (>= 2.0.0)
Imports: mvtnorm, Matrix, smoothmest, msm
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-09-13 18:29:48 UTC; MAITYA02
Author: Arnab Maity [aut, cre],
  Antik Chakraborty [aut],
  Anirban Bhattacharya [aut],
  Bani K. Mallick [aut],
  Veerabhadran Baladandayuthapani [aut]
Maintainer: Arnab Maity <arnab.maity@pfizer.com>
Repository: CRAN
Date/Publication: 2019-09-20 10:10:05 UTC
Built: R 4.0.5; ; 2022-04-21 07:57:01 UTC; windows
