genpathmox: Generalized Pathmox Approach Segmentation Tree Analysis

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.

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