Generalized Pathmox Approach Segmentation Tree Analysis
Description
It provides an interesting solution for handling a high number
of segmentation variables in partial least squares structural equation
modeling. The package implements the "Pathmox" algorithm (Lamberti, Sanchez,
and Aluja,(2016)) including the F-coefficient
test (Lamberti, Sanchez, and Aluja,(2017))
to detect the path coefficients responsible for the identified differences),
the hybrid multi-group approach (Lamberti (2021)
) and the classical multi-group
approaches (parametric and permutation approaches). The package also
includes an extension of the "Pathmox" algorithm to the case of
linear regression models.