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>).

Version: 1.5
Depends: LearnBayes, SuppDists, mvtnorm, survival, R (≥ 3.2.3)
Published: 2021-06-24
Author: Kyu Ha Lee, Sounak Chakraborty, (Tony) Jianguo Sun
Maintainer: Kyu Ha Lee <klee15239 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Survival
CRAN checks: psbcGroup results

Documentation:

Reference manual: psbcGroup.pdf

Downloads:

Package source: psbcGroup_1.5.tar.gz
Windows binaries: r-devel: psbcGroup_1.5.zip, r-devel-UCRT: psbcGroup_1.5.zip, r-release: psbcGroup_1.5.zip, r-oldrel: psbcGroup_1.5.zip
macOS binaries: r-release (arm64): psbcGroup_1.5.tgz, r-release (x86_64): psbcGroup_1.5.tgz, r-oldrel: psbcGroup_1.5.tgz
Old sources: psbcGroup archive

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