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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>.
Getting started
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Package details |
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| 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> |
| License | GPL-3 |
| Version | 0.0.3 |
| Package repository | View on CRAN |
| Installation |
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