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genpathmox (version 0.2)

Generalized PATHMOX Algorithm for PLS-PM, LS and LAD Regression

Description

genpathmox provides a very interesting solution for handling segmentation variables in complex statistical methodology. It contains en extended version of the PATHMOX algorithm in the context of partial least square path modeling (Sanchez, 2009) 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.

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Version

Install

install.packages('genpathmox')

Monthly Downloads

241

Version

0.2

License

GPL-3

Maintainer

Giuseppe Lamberti

Last Published

November 27th, 2014

Functions in genpathmox (0.2)

fblock.tree.pls

Listing the the f-block test results for each obtained partition
bin.levels

Defining labels of the binary partions.
element

Defining labels of a path coefficient.
F.data.pls

Defining the matrices needed for the comparison test
nodes.tree

Calculating the element of all nodes
splitopt.reg

Defining optimum partition for a specific variable (regression model)
fibtelereg

Fibtelereg
node-class

node class
Fg.test.pls

F-Global test.
build.block

Defining the linear relations between the latent variables.
Fb.test.pls

Block test
treemodelreg

create method treemodelreg
fcoef.tree.pls

Listing the the f-coefficients test results for each obtained partition
print.xtree.reg

Print function for the Pathmox Segmentation Trees: linear regression and LAD
Fg.test.reg

Global test for the regression model
terminal.tree

Calculating the element of the terminal nodes
all.part.reg

Defining the candidates to the optimum partition for each of segmentation variables (regression model)
fcoef.tree.reg

Listing the the f-coefficients test results for regression model for each obtained partition
invariance

Calculating the invariance test
info.reg_class

info.reg class
print.xtree.pls

Print function for the Pathmox Segmentation Trees: PLS-PM
reg.treemodel

Regression results of terminal nodes from the Pathmox Segmentation Trees
xtree.pls

create method xtree.pls
candidates.tree

Listing the candidates partions for each intermedied nodes
blockdiag

Building the Bart matrix
Fc.test.pls

Coefficient test
Fc.test.reg

Coefficient test for the regression model
mox.tree.pls

Resuming the tree attributes: it gives general information about the tree
xtree.reg

create method xtree.reg
mox.tree

Resuming the tree attributes (regression model) : it gives general information about the tree
printTree

printing the tree structure
test.partition.pls

Calculating the comparison tests
summary.xtree.reg

Summary function for the Pathmox Segmentation Trees: linaer regression and LAD
pls.treemodel

PLS-PM results of terminal nodes from the Pathmox Segmentation Trees
plot.treemodel

Comparative plot between nodes from the Pathmox Segmentation Trees: PLS-PM
splitopt.pls

Defining optimum partition for a specific variable.
plot.treemodelreg

Comparative plot between nodes from or the Pathmox Segmentation Trees: linear and LAD regression
showDeepth

Calculating Deepth stop criterion
summary.xtree.pls

Summary function for the Pathmox Segmentation Trees: PLS-PM
info.mox.pls

Giving general information about the pathmox algorithm
all.part.pls

Defining the candidates to the optimum partition for each of segmentation variables
invariance_test

Invariance Test
percent.node

Calculating size (numeber of individual of a node) stopo criterion
info.mox.reg

Giving general information about the pathmox-lm algorithm
plot.xtree.pls

Plot function for the Pathmox Segmentation Trees: PLS-PM
partopt.pls

Defining the optimum partition given a set of segmentation variables
fglobal.tree.pls

Listing the the f-global test results for each obtained partition
F.data.reg

Defining the matrices needed for the comparison test (regression model)
fglobal.tree

Listing the the f-global test results for regression model for each obtained partition
partition

Defining binary partitions given a segmentation variable (factor).
node.reg_class

node.reg class
pls.pathmox

PATHMOX-PLS: Extended Segmentation Trees in Partial Least Squares Path Modeling
comb

Enumerating the possible combinations of a specified size from the elements of a vector
fibtele

Fibtele
partopt.reg

Defining the optimum partition given a set of segmentation variables (regression model)
tree-class

tree class
info.pls_class

info.pls class
reg.pathmox

PATHMOX-REG: Segmentation Trees in linaer and LAD regression model
test.particion.reg

Calculating the comparison tests for the regression model
treemodel

create method treemodel
f.min

Defining vector minimum position
plot.xtree.reg

Plot function for the Pathmox Segmentation Trees: linaer regression and LAD
root.tree

Calculating the element of the root node