Package: genpathmox
Title: Generalized Pathmox Approach Segmentation Tree Analysis
Version: 0.3
Authors@R: person("Giuseppe", "Lamberti", email = "giuseppelamb@hotmail.com",
role = c("aut", "cre"))
Description: 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.
Depends: R (>= 3.1.2), stats, graphics, grDevices, utils, diagram,
methods, mice, plspm, quantreg,
License: GPL-3
LazyData: true
Packaged: 2017-05-31 12:20:55 UTC; giuseppelamberti
Author: Giuseppe Lamberti [aut, cre]
Maintainer: Giuseppe Lamberti <giuseppelamb@hotmail.com>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2017-05-31 16:01:31

Package: genpathmox
Title: Generalized Pathmox Approach Segmentation Tree Analysis
Version: 0.4
Authors@R: person("Giuseppe", "Lamberti", email = "giuseppelamb@hotmail.com",
role = c("aut", "cre"))
Description: 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.
Depends: R (>= 3.1.2), stats, graphics, grDevices, utils, diagram,
methods, mice, quantreg
License: GPL-3
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-11 14:49:54 UTC; giuseppelamberti
Author: Giuseppe Lamberti [aut, cre]
Maintainer: Giuseppe Lamberti <giuseppelamb@hotmail.com>
Repository: CRAN
Date/Publication: 2020-05-11 15:20:13 UTC