build.block

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internal

It provides an interesting solution for handling a high number
of segmentation variables in partial least squares structural equation
modeling. The package implements the "Pathmox" algorithm (Lamberti, Sanchez,
and Aluja,(2016)<doi:10.1002/asmb.2168>) including the F-coefficient
test (Lamberti, Sanchez, and Aluja,(2017)<doi:10.1002/asmb.2270>)
to detect the path coefficients responsible for the identified differences).
The package also allows running the hybrid multi-group approach (Lamberti (2021)
<doi:10.1007/s11135-021-01096-9>).

Giuseppe Lamberti

genpathmox

Pathmox Approach Segmentation Tree Analysis

build.block function

<dl><dt>inner</dt>
<dd>a square (lower triangular) boolean matrix representing 
the inner model (i.e. the path relationships between latent variables)</dd>
<dt>latent</dt>
<dd>matrix of the latent score</dd></dl>

Arguments

Linear relations between latent variables. — build.block

<dl>

<dt>inner</dt>
<dd>a square (lower triangular) boolean matrix representing 
the inner model (i.e. the path relationships between latent variables)</dd>


<dt>latent</dt>
<dd>matrix of the latent score</dd>

</dl>

build.block: Linear relations between latent variables.

Description

Usage

Value

Arguments

Details