glmnetRank

previously fitted <code>glmnet</code> object

glmnet

Defaults to TRUE. TRUE ranking based on occurence. FALSE based on effect sizes

first

Defaults to TRUE. TRUE returns feature names. FALSE returns coefficients

names


This function ranks the input features of a previously fitted <code>glmnet</code> object. Ranking according to the first occurence in the lambda path
or effect sizes at the end of the path.


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.

glmnetRank: Ranks features of a previously fitted `glmnet` object

Description

Usage

Arguments