Fg.test.reg

vector of the concatenate indipendent latent variables of null hypothesis global test.

matrix of the concatenate predictor latent variables of null hypothesis global test.

vector of the concatenate indipendent latent variables of alternative hypothesis global test.

matrix of the concatenate predictor latent variables of alternative hypothesis global test.

string indicating the method: LM or LAD

method

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

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Global test for the regression model

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

Fg.test.reg function

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

Fg.test.reg: Global test for the regression model

Description

Usage

Arguments

Value

Details