genpathmox: Generalized Pathmox Approach Segmentation Tree Analysis
Version 0.3

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)) 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.

Getting started

Package details

AuthorGiuseppe Lamberti [aut, cre]
Date of publication2017-05-31 14:01:28 UTC
MaintainerGiuseppe Lamberti <>
Package repositoryView on CRAN
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genpathmox documentation built on May 31, 2017, 8:26 p.m.