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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.7 |
rolling linux/jammy R-4.5 | psbcGroup_1.7.tar.gz |
117.8 KiB |
1.7 |
rolling linux/noble R-4.5 | psbcGroup_1.7.tar.gz |
117.8 KiB |
1.7 |
rolling source/ R- | psbcGroup_1.7.tar.gz |
117.8 KiB |
1.7 |
latest linux/jammy R-4.5 | psbcGroup_1.7.tar.gz |
117.8 KiB |
1.7 |
latest linux/noble R-4.5 | psbcGroup_1.7.tar.gz |
117.8 KiB |
1.7 |
latest source/ R- | psbcGroup_1.7.tar.gz |
117.8 KiB |
1.7 |
2026-04-26 source/ R- | psbcGroup_1.7.tar.gz |
117.8 KiB |
1.7 |
2026-04-23 source/ R- | psbcGroup_1.7.tar.gz |
117.8 KiB |
1.7 |
2026-04-09 windows/windows R-4.5 | psbcGroup_1.7.zip |
454.0 KiB |
1.7 |
2025-04-20 source/ R- | psbcGroup_1.7.tar.gz |
117.8 KiB |