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

Downloads:

Reference manual: PanCanVarSel.pdf
Package source: PanCanVarSel_0.0.3.tar.gz
Windows binaries: r-devel: PanCanVarSel_0.0.3.zip, r-release: PanCanVarSel_0.0.3.zip, r-oldrel: PanCanVarSel_0.0.3.zip
OS X binaries: r-release: PanCanVarSel_0.0.3.tgz, r-oldrel: PanCanVarSel_0.0.3.tgz

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