Penalized Semiparametric Bayesian Cox Models [R package psbcSpeedUp version 2.1.0]

psbcSpeedUp: Penalized Semiparametric Bayesian Cox Models

Algorithms to speed up the Bayesian Lasso Cox model (Lee et al., Int J Biostat, 2011 <doi:10.2202/1557-4679.1301>) and the Bayesian Lasso Cox with mandatory variables (Zucknick et al. Biometrical J, 2015 <doi:10.1002/bimj.201400160>).

Version: 2.1.0

Depends: R (≥ 4.0)

Imports: Rcpp, ggplot2, GGally, MASS, survival, riskRegression, utils, stats

LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.000)

Suggests: knitr

Published: 2025年09月30日

DOI: 10.32614/CRAN.package.psbcSpeedUp

Author: Zhi Zhao [aut, cre], Manuela Zucknick [aut], Maral Saadati [aut], Axel Benner [aut]

Maintainer: Zhi Zhao <zhi.zhao at medisin.uio.no>

BugReports: https://github.com/ocbe-uio/psbcSpeedUp/issues

License: GPL-3

URL: https://github.com/ocbe-uio/psbcSpeedUp

NeedsCompilation: yes

SystemRequirements: C++17

Citation: psbcSpeedUp citation info

Materials: README, NEWS

In views: Survival

CRAN checks: psbcSpeedUp results

Documentation:

Reference manual: psbcSpeedUp.html , psbcSpeedUp.pdf

Vignettes: Penalized Semiparametric Bayesian Cox Models (source, R code)

Downloads:

Package source: psbcSpeedUp_2.1.0.tar.gz

Windows binaries: r-devel: psbcSpeedUp_2.1.0.zip, r-release: psbcSpeedUp_2.1.0.zip, r-oldrel: psbcSpeedUp_2.1.0.zip

macOS binaries: r-release (arm64): psbcSpeedUp_2.1.0.tgz, r-oldrel (arm64): psbcSpeedUp_2.1.0.tgz, r-release (x86_64): psbcSpeedUp_2.1.0.tgz, r-oldrel (x86_64): psbcSpeedUp_2.1.0.tgz

Old sources: psbcSpeedUp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=psbcSpeedUp to link to this page.