element

matrix containing information of casual relationship of latent variables.

Further arguments passed on to <code><a rd-options="" href="/link/element?package=genpathmox&version=0.7" data-mini-rdoc="genpathmox::element">element</a></code>.

&#8230;

Defining labels of a path coefficient.

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 hybrid multi-group approach (Lamberti (2021)
<doi:10.1007/s11135-021-01096-9>).

Giuseppe Lamberti

genpathmox

Generalized Pathmox Approach Segmentation Tree Analysis

element function

Further arguments passed on to <code><a rd-options='' href='element'>element</a></code>.

element: Defining labels of a path coefficient.

Description

Usage

Arguments

Value

Details