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 |
Documentation:
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