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>).
| Version: |
1.7 |
| Depends: |
LearnBayes, SuppDists, mvtnorm, survival, R (≥ 3.2.3) |
| Published: |
2024-01-09 |
| Author: |
Kyu Ha Lee, Sounak Chakraborty, Harrison Reeder, (Tony) Jianguo Sun |
| Maintainer: |
Kyu Ha Lee <klee at hsph.harvard.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| In views: |
Survival |
| CRAN checks: |
psbcGroup results |
Documentation:
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