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' |