R package psbcGroup: Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors. Algorithms for fitting penalized parametric and semiparametric Bayesian survival models with shrinkage and grouping priors.
Keywords for this software
References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- Minnie M. Joo, Nicolás Schmidt, Sergio Béjar, Vineeta Yadav, Bumba Mukherjee: BayesMFSurv: An R Package to Estimate Bayesian Split-Population Survival Models With (and Without) Misclassified Failure Events (2020) not zbMATH
- Lee, Kyu Ha; Chakraborty, Sounak; Sun, Jianguo: Variable selection for high-dimensional genomic data with censored outcomes using group lasso prior (2017)
- Zucknick, Manuela; Saadati, Maral; Benner, Axel: Nonidentical twins: comparison of frequentist and Bayesian Lasso for Cox models (2015)