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 |
| Reference manual: | psbcGroup.pdf |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=psbcGroup to link to this page.