psbcGroup: Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors

Algorithms to implement various Bayesian penalized survival regression models including: semiparametric proportional hazards models with lasso priors (Lee et al., Int J Biostat, 2011 <doi:10.2202/1557-4679.1301>) and three other shrinkage and group priors (Lee et al., Stat Anal Data Min, 2015 <doi:10.1002/sam.11266>); parametric accelerated failure time models with group/ordinary lasso prior (Lee et al. Comput Stat Data Anal, 2017 <doi:10.1016/j.csda.2017.02.014>).

Getting started

Package details

AuthorKyu Ha Lee, Sounak Chakraborty, (Tony) Jianguo Sun
MaintainerKyu Ha Lee <klee15239@gmail.com>
LicenseGPL (>= 2)
Version1.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("psbcGroup")

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psbcGroup documentation built on June 24, 2021, 9:08 a.m.