f.min

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

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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

f.min function

<p>Further arguments passed on to <code><a rd-options='' href='f.min'>f.min</a></code>.</p>

f.min: Defining vector minimum position

Description

Usage

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Details