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.
| Version: | 0.3 |
| Depends: | R (≥ 3.1.2), stats, graphics, grDevices, utils, diagram, methods, mice, plspm, quantreg |
| Published: | 2017-05-31 |
| 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_0.3.tar.gz |
| Windows binaries: | r-devel: genpathmox_0.3.zip, r-release: genpathmox_0.3.zip, r-oldrel: genpathmox_0.3.zip |
| OS X El Capitan binaries: | r-release: genpathmox_0.3.tgz |
| OS X Mavericks binaries: | r-oldrel: genpathmox_0.3.tgz |
| Old sources: | genpathmox archive |
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