Package: genpathmox
Title: Generalized Pathmox Approach Segmentation Tree Analysis
Version: 0.6
Authors@R: person("Giuseppe", "Lamberti", email = "giuseppelamb@hotmail.com",
    role = c("aut", "cre"))
Description: 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.
Depends: R (>= 3.1.2), stats, graphics, grDevices, utils, diagram,
        methods, quantreg
License: GPL-3
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-02-17 20:12:47 UTC; giuseppelamberti
Author: Giuseppe Lamberti [aut, cre]
Maintainer: Giuseppe Lamberti <giuseppelamb@hotmail.com>
Repository: CRAN
Date/Publication: 2021-02-17 20:40:06 UTC
