Fc.test.pls

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

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

vector of path coefficients labels.

path.name

list contaning information about the endogenous equations of the pls model.

info.block

string indicating the method: LM or LAD.

method

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

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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

Fc.test.pls function

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

Fc.test.pls: Coefficient test

Description

Usage

Arguments

Value

Details