getDesignMatrix

Generate the Design Matrix for LDA Model

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

getDesignMatrix function

<dl><dt>modelLDA</dt>
<dd>A fitted LDA model object containing the terms, variable
indices, variable centers, and scaling factors.</dd>
<dt>data</dt>
<dd>A data frame containing the predictor variables that are used to
create the design matrix.</dd>
<dt>scale</dt>
<dd>A logical value indicating whether to scale the design matrix
based on the mean and standard deviation of the variables (default is
<code>FALSE</code>).</dd></dl>

Arguments

Generate the Design Matrix for LDA Model — getDesignMatrix

<dl>

<dt>modelLDA</dt>
<dd>A fitted LDA model object containing the terms, variable
indices, variable centers, and scaling factors.</dd>


<dt>data</dt>
<dd>A data frame containing the predictor variables that are used to
create the design matrix.</dd>


<dt>scale</dt>
<dd>A logical value indicating whether to scale the design matrix
based on the mean and standard deviation of the variables (default is
<code>FALSE</code>).</dd>

</dl>

getDesignMatrix: Generate the Design Matrix for LDA Model

Description

Usage

Value

Arguments