var_imp: Variable Importance

In AlineTalhouk/splendid: SuPervised Learning ENsemble for Diagnostic IDentification

Variable Importance

Description

Methods to calculate variable importance for different classifiers.

Usage

var_imp(mod, ...)

## Default S3 method:
var_imp(mod, ...)

## S3 method for class 'randomForest'
var_imp(mod, ...)

## S3 method for class 'maboost'
var_imp(mod, ...)

## S3 method for class 'train'
var_imp(mod, ...)

Arguments

mod	model object from classification()
...	additional arguments to be passed to or from methods

Author(s)

Derek Chiu

Examples

data(hgsc)
class <- attr(hgsc, "class.true")
mod <- classification(hgsc, class, "xgboost")
var_imp(mod)

AlineTalhouk/splendid documentation built on Feb. 23, 2024, 9:37 p.m.