get_weights_nonmetric

path_matrix

blocks

<p>list with algorithm specifications</p>

specs

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

get_weights_nonmetric function

Outer Weights Non-Metric Data — get_weights_nonmetric

Outer Weights Non-Metric Data

get_weights_nonmetric: Outer Weights Non-Metric Data

Description

Usage

Arguments

Value

Details