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psbcGroup

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

Installation

About

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).

Key Metrics

Version 1.7
R ≥ 3.2.3
Published 2024-01-09 101 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Kyu Ha Lee

klee@hsph.harvard.edu

Authors

Kyu Ha Lee
Sounak Chakraborty
Harrison Reeder

(Tony)

Jianguo Sun

Material

Reference manual
Package source

In Views

Survival

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

psbcGroup archive

Depends

LearnBayes
SuppDists
mvtnorm
survival
R ≥ 3.2.3