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>.
|Author||Arnab Maity [aut, cre], Antik Chakraborty [aut], Anirban Bhattacharya [aut], Bani K. Mallick [aut], Veerabhadran Baladandayuthapani [aut]|
|Maintainer||Arnab Maity <[email protected]>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.