fsSurvRankGlmnet

response y as a survival object, generated with <code>Surv()</code>

alpha value in <code>glmnet</code> (elasticnet mixing parameter)


This function ranks the input features with the lasso algorithm in glmnet.


SurvRank

Estimation of the prediction accuracy in a unified survival AUC
approach. Model selection and prediction estimation based on a survival AUC.
Stepwise model selection, based on several ranking approaches.

fsSurvRankGlmnet: L1 (lasso) ranking function

Description

Usage

Arguments