varimp

Variable importance using the vip package and permutation importance

The Radiant Model menu includes interfaces for linear and logistic
regression, naive Bayes, neural networks, classification and regression trees,
model evaluation, collaborative filtering, decision analysis, and simulation.
The application extends the functionality in 'radiant.data'.

Vincent Nijs

radiant.model

Model Menu for Radiant: Business Analytics using R and Shiny

varimp function

<dl><dt>object</dt>
<dd>Model object created by Radiant</dd>
<dt>rvar</dt>
<dd>Label to identify the response or target variable</dd>
<dt>lev</dt>
<dd>Reference class for binary classifier (rvar)</dd>
<dt>data</dt>
<dd>Data to use for prediction. Will default to the data used to estimate the model</dd>
<dt>seed</dt>
<dd>Random seed for reproducibility</dd></dl>

Arguments

Variable importance using the vip package and permutation importance — varimp

<dl>

<dt>object</dt>
<dd>Model object created by Radiant</dd>


<dt>rvar</dt>
<dd>Label to identify the response or target variable</dd>


<dt>lev</dt>
<dd>Reference class for binary classifier (rvar)</dd>


<dt>data</dt>
<dd>Data to use for prediction. Will default to the data used to estimate the model</dd>


<dt>seed</dt>
<dd>Random seed for reproducibility</dd>

</dl>

varimp: Variable importance using the vip package and permutation importance

Description

Usage

Arguments