partopt.reg

matrix or data.frame with the data.

matrix or data.frame of the segmentation variables.

string indicating the method: LM or LAD

method

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

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Defining the optimum partition given a set of segmentation variables (regression model)

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

partopt.reg function

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

partopt.reg: Defining the optimum partition given a set of segmentation variables (regression model)

Description

Usage

Arguments

Value

Details