psbcSpeedUp: Penalized Semiparametric Bayesian Cox Models (original) (raw)
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 |
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Depends: | R (≥ 4.0) |
Imports: | Rcpp, ggplot2, GGally, MASS, survival, riskRegression, utils, stats |
LinkingTo: | Rcpp, RcppArmadillo (≥ 0.9.000) |
Suggests: | knitr |
Published: | 2025-09-30 |
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:
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