info.mox.reg

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

string indicating the method: LM or LAD.

method

Further arguments passed on to <code><a rd-options="" href="/link/info.mox.reg?package=genpathmox&version=0.5" data-mini-rdoc="genpathmox::info.mox.reg">info.mox.reg</a></code>.

&#8230;

Giving general information about the pathmox-lm algorithm

internal

Provides a very interesting solution for
handling segmentation variables in complex statistical methodology. It
contains en extended version of the "Pathmox" algorithm (Lamberti, Sanchez
and Aluja,(2016)<doi:10.1002/asmb.2168>) in the context of
Partial Least Squares Path Modeling including the F-block
test (to detect the responsible latent endogenous equations of the
difference), the F-coefficient (to detect the path coefficients responsible
of the difference) and the "invariance" test (to realize a comparison
between the sub-models' latent variables). Furthermore, the package
contains a generalized version of the "Pathmox" algorithm to approach
different methodologies: linear regression and least absolute regression
models.

Giuseppe Lamberti

genpathmox

Generalized Pathmox Approach Segmentation Tree Analysis

info.mox.reg function

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

info.mox.reg: Giving general information about the pathmox-lm algorithm

Description

Usage

Arguments

Details