info.mox.pls

stop condition 1: significance of the p-value

signif

stop condition 2: minimum number of individuals in a node

size

stop condition 3: maximum tree depth level

deep

Further arguments passed on to <code><a rd-options="" href="/link/info.mox.pls?package=genpathmox&version=0.6" data-mini-rdoc="genpathmox::info.mox.pls">info.mox.pls</a></code>.

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Giving general information about the pathmox algorithm

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>) and the classical multi-group
approaches (parametric and permutation approaches). The package also
includes an extension of the "Pathmox" algorithm to the case of
linear regression models.

Giuseppe Lamberti

genpathmox

Generalized Pathmox Approach Segmentation Tree Analysis

info.mox.pls function

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

info.mox.pls: Giving general information about the pathmox algorithm

Description

Usage

Arguments

Details