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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 |
| DOI: | 10.32614/CRAN.package.PanCanVarSel |
| 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 |
| 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 |
| macOS binaries: | r-release (arm64): PanCanVarSel_0.0.3.tgz, r-oldrel (arm64): PanCanVarSel_0.0.3.tgz, r-release (x86_64): PanCanVarSel_0.0.3.tgz, r-oldrel (x86_64): PanCanVarSel_0.0.3.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.