Package: psbcGroup 1.7

Kyu Ha Lee

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>).

Authors:Kyu Ha Lee, Sounak Chakraborty, Harrison Reeder, Jianguo Sun

psbcGroup_1.7.tar.gz
psbcGroup_1.7.tar.gz(r-4.5-noble)psbcGroup_1.7.tar.gz(r-4.4-noble)
psbcGroup_1.7.tgz(r-4.4-emscripten)psbcGroup_1.7.tgz(r-4.3-emscripten)
psbcGroup.pdf |psbcGroup.html
psbcGroup/json (API)

# Install 'psbcGroup' in R:
install.packages('psbcGroup', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • gsl– GNU Scientific Library (GSL)
Datasets:
  • survData - A simulated survival dataset.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

gsl

1.30 score 2 stars 4 scripts 198 downloads 6 exports 6 dependencies

Last updated 11 months agofrom:c2f03e0b2e. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 05 2024
R-4.5-linux-x86_64OKDec 05 2024

Exports:aftGLaftGL_LTpsbcENpsbcFLpsbcGLVS

Dependencies:latticeLearnBayesMatrixmvtnormSuppDistssurvival