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

rig function

<dl><dt>pred</dt>
<dd>Prediction or predictor</dd>
<dt>rvar</dt>
<dd>Response variable</dd>
<dt>lev</dt>
<dd>The level in the response variable defined as success</dd>
<dt>crv</dt>
<dd>Correction value to avoid log(0)</dd>
<dt>na.rm</dt>
<dd>Logical that indicates if missing values should be removed (TRUE) or not (FALSE)</dd></dl>

Arguments

Relative Information Gain (RIG) — rig

<dl>

<dt>pred</dt>
<dd>Prediction or predictor</dd>


<dt>rvar</dt>
<dd>Response variable</dd>


<dt>lev</dt>
<dd>The level in the response variable defined as success</dd>


<dt>crv</dt>
<dd>Correction value to avoid log(0)</dd>


<dt>na.rm</dt>
<dd>Logical that indicates if missing values should be removed (TRUE) or not (FALSE)</dd>

</dl>

rig: Relative Information Gain (RIG)

Description

Usage

Value

Arguments

Details

See Also

Examples