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 |
| 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: genpathmox_0.6.tgz, r-oldrel: genpathmox_0.6.tgz |
| Old sources: | genpathmox archive |
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