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

Documentation for package ‘penAFT’ version 0.3.2

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'