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 ) and three other shrinkage and group priors (Lee et al., Stat Anal Data Min, 2015 ); parametric accelerated failure time models with group/ordinary lasso prior (Lee et al. Comput Stat Data Anal, 2017 ).


Reference manual

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1.5 by Kyu Ha Lee, 5 months ago

Browse source code at

Authors: Kyu Ha Lee , Sounak Chakraborty , (Tony) Jianguo Sun

Documentation:   PDF Manual  

Task views: Survival Analysis

GPL (>= 2) license

Depends on LearnBayes, SuppDists, mvtnorm, survival

See at CRAN