R: Fit the Semiparametric Accelerated Failure Time Model with Elastic Net and Sparse Group Lasso Penalties

# Fit the Semiparametric Accelerated Failure Time Model with Elastic Net and Sparse Group Lasso Penalties

## Documentation for package ‘penAFT’ version 0.3.2

- DESCRIPTION file

## Help Pages

penAFT-package | Fit the semiparametric accelerated failure time model in high dimensions by minimizing a rank-based estimation criterion plus weighted elastic net or weighted sparse group-lasso penalty.
genSurvData | Generate a survival dataset from the log-logistic accelerated failure time model.
penAFT | Fit the solution path for the penalized semiparametric accelerated failure time model with weighted elastic net or weighted sparse group lasso penalties.
penAFT.coef | Extract regression coefficients from fitted model object
penAFT.cv | Cross-validation function for fitting a regularized semiparametric accelerated failure time model
penAFT.plot | Plot cross-validation curves
penAFT.predict | Obtain linear predictor for new subjects using fitted model from 'penAFT' or 'penAFT.cv'
penAFT.trace | Print trace plot for the semiparametric AFT fit using 'penAFT' or 'penAFT.cv'