The package provides algorithms for fitting penalized parametric and semiparametric Bayesian survival models with elastic net, fused lasso, and group lasso priors.
The package includes following functions:
||The function to fit the PSBC model with elastic net prior|
||The function to fit the PSBC model with fused lasso prior|
||The function to fit the PSBC model with group lasso or Bayesian lasso prior|
||The function to fit the parametric accelerated failure time model with group lasso|
|License:||GPL (>= 2)|
Kyu Ha Lee, Sounak Chakraborty, (Tony) Jianguo Sun
Maintainer: Kyu Ha Lee <email@example.com>
Lee, K. H., Chakraborty, S., and Sun, J. (2011).
Bayesian Variable Selection in Semiparametric Proportional Hazards Model for High Dimensional Survival Data.
The International Journal of Biostatistics, Volume 7, Issue 1, Pages 1-32.
Lee, K. H., Chakraborty, S., and Sun, J. (2015). Survival Prediction and Variable Selection with Simultaneous Shrinkage and Grouping Priors. Statistical Analysis and Data Mining, Volume 8, Issue 2, pages 114-127.
Lee, K. H., Chakraborty, S., and Sun, J. Variable Selection for High-Dimensional Genomic Data with Censored Outcomes Using Group Lasso Prior. submitted.