genpathmox: Generalized Pathmox Approach Segmentation Tree Analysis

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)<doi:10.1002/asmb.2168>) including the F-coefficient test (Lamberti, Sanchez, and Aluja,(2017)<doi:10.1002/asmb.2270>) to detect the path coefficients responsible for the identified differences), the hybrid multi-group approach (Lamberti (2021) <doi:10.1007/s11135-021-01096-9>) 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.

Version: 0.6
Depends: R (≥ 3.1.2), stats, graphics, grDevices, utils, diagram, methods, quantreg
Published: 2021-02-17
Author: Giuseppe Lamberti [aut, cre]
Maintainer: Giuseppe Lamberti <giuseppelamb at hotmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: genpathmox results

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Reference manual: genpathmox.pdf
Package source: genpathmox_0.6.tar.gz
Windows binaries: r-devel: genpathmox_0.6.zip, r-release: genpathmox_0.6.zip, r-oldrel: genpathmox_0.6.zip
macOS binaries: r-release (arm64): genpathmox_0.6.tgz, r-release (x86_64): genpathmox_0.6.tgz, r-oldrel: genpathmox_0.6.tgz
Old sources: genpathmox archive

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