getLDscores

Compute Linear Discriminant Scores

A novel forward stepwise discriminant analysis framework
that integrates Pillai's trace with Uncorrelated Linear Discriminant Analysis (ULDA),
providing an improvement over traditional stepwise LDA methods that rely on Wilks' Lambda.
A stand-alone ULDA implementation is also provided, offering a more general solution
than the one available in the 'MASS' package. It automatically handles missing values and
provides visualization tools. For more details, see Wang (2024) <doi:10.48550/arXiv.2409.03136>.

Siyu Wang

folda

Forward Stepwise Discriminant Analysis with Pillai's Trace

getLDscores function

<dl><dt>modelLDA</dt>
<dd>A fitted LDA model object containing the scaling matrix and
the reference structure for missing data.</dd>
<dt>data</dt>
<dd>A data frame containing the predictor variables for which to
compute the linear discriminant scores.</dd>
<dt>nScores</dt>
<dd>An integer specifying the number of discriminant scores to
compute. If <code>-1</code> (default), all scores are computed.</dd></dl>

Arguments

Compute Linear Discriminant Scores — getLDscores

<dl>

<dt>modelLDA</dt>
<dd>A fitted LDA model object containing the scaling matrix and
the reference structure for missing data.</dd>


<dt>data</dt>
<dd>A data frame containing the predictor variables for which to
compute the linear discriminant scores.</dd>


<dt>nScores</dt>
<dd>An integer specifying the number of discriminant scores to
compute. If <code>-1</code> (default), all scores are computed.</dd>

</dl>

getLDscores: Compute Linear Discriminant Scores

Description

Usage

Value

Arguments