PanCanVarSel: Pan-Cancer Variable Selection
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>.
| Version: | 
0.0.3 | 
| Depends: | 
R (≥ 2.0.0) | 
| Imports: | 
mvtnorm, Matrix, smoothmest, msm | 
| Published: | 
2019-09-20 | 
| Author: | 
Arnab Maity [aut, cre],
  Antik Chakraborty [aut],
  Anirban Bhattacharya [aut],
  Bani K. Mallick [aut],
  Veerabhadran Baladandayuthapani [aut] | 
| Maintainer: | 
Arnab Maity  <arnab.maity at pfizer.com> | 
| License: | 
GPL-3 | 
| NeedsCompilation: | 
no | 
| Citation: | 
PanCanVarSel citation info  | 
| Materials: | 
README  | 
| CRAN checks: | 
PanCanVarSel results | 
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