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genpathmox (version 0.7)

Generalized Pathmox Approach Segmentation Tree Analysis

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)) including the F-coefficient test (Lamberti, Sanchez, and Aluja,(2017)) to detect the path coefficients responsible for the identified differences), the hybrid multi-group approach (Lamberti (2021) ).

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Version

Install

install.packages('genpathmox')

Monthly Downloads

241

Version

0.7

License

GPL-3

Maintainer

Giuseppe Lamberti

Last Published

August 12th, 2021

Functions in genpathmox (0.7)

Building the Bart matrix

Defining labels of the binary partions.

Defining the matrices needed for the comparison test

Coefficient test

Defining the matrices needed for the comparison test (regression model)

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

Check bootstrap options

Global test for the regression model

Coefficient test for the regression model

Check tolerance threshold

Internal PLS regression with missing values

Internal PLS regression (full data)

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

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

Non-Metric Nominal Scale

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

Check arguments for plspm and plspm.fit

Defining the candidates to the optimum partition for each of segmentation variables (regression model)

Check well defined blocks

Check types of measurement scales and metric

Check path matrix

Check vector of PLS components (for non-metric plspm)

fglobal.tree.pls

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

Check congruence between inner and outer models

Dummy by Giorgio

Check maximum number of iterations

Dummy matrices for categorical manifest variables

Create an indexed list from a dummy matrix

Get data frame with bootstrap statistics

Starting and ending positions

Apply a function to all elements in a list

Performs bootstrap validation in plspm

Get general parameters

Path coefficient effects for plspm

candidates.tree

Listing the candidates partions for each intermedied nodes

Defining the linear relations between the latent variables.

get_path_scheme

Calculate inner weighting path scheme

Non-Metric Numerical Scale

Has or lacks row/column names?

Building data matrix with manifest variables

Create indices for elements in a vector or list

is_negative_decimal

Is negative decimal

Non-Metric Dummy

is_rectangular_matrix

Is rectangular matrix

Calculate path coefficients for plspm

Type of metric based on scaling measurement

get_treated_data

Apply corresponding treatment to MV

Rank of a non-metric variable

Unidimensionality of reflective blocks

is_negative_integer

Is negative integer

Split a data frame into blocks

Check specifications of PLS-PM algorithm

factor_to_dummy

Create a dummy matrix from the elements in a factor

Listing the the f-coefficients test results for each obtained partition

Goodness-of-fit for plspm

is_single_false

Is single false

get_inner_summary

Inner summary assessment

is_single_positive

Is single positive number

is_single_positive_decimal

Is single positive decimal

is_single_logical

Is single logical

is_square_numeric_matrix

Is square numeric matrix

Defining vector minimum position

Transform factors in MV into numeric

Defining labels of a path coefficient.

is_single_negative

Is single negative number

Calculate Latent Variable Scores

get_weights_nonmetric

Outer Weights Non-Metric Data

Has missing values, NA, NaN, Inf

Calculate inner weighting path scheme

is_square_matrix

Is square matrix

Design-type matrix from the elements in a list

Has or lacks names?

Presence of missing values

is_single_positive_integer

Is single positive integer

Test if an object is multi-dimensional

is_lower_triangular

Is triangular matrix

list_with_vectors

List with vectors

is_single_string

Is single string

Test if an object has one-dimension

Calculating size (numeber of individual of a node) stopo criterion

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

PATHMOX-REG: Segmentation Trees in linaer and LAD regression model

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

List with vectors of ones

Resuming the tree attributes: it gives general information about the tree

PLS-SEM results of a specific terminal node from the Pathmox Segmentation Trees

is_single_negative_decimal

Is single negative decimal

create method treemodelreg

Calculating the element of the root node

is_single_negative_integer

Is single negative integer

Create a dummy matrix from the elements in a list

Giving general information about the pathmox-lm algorithm

Giving general information about the pathmox algorithm

Is diagonal matrix

is_positive_decimal

Is positive decimal

is_positive_integer

Is positive integer

matrix_to_blocks

Split a matrix into blocks

Plot function for the Pathmox Segmentation Trees: PLS-PM

PATHMOX-PLS: Extended Segmentation Trees in Partial Least Squares Structutal Equation Modeling (PLS-SEM)

printing the tree structure

Defining binary partitions given a segmentation variable (factor).

Defining the optimum partition given a set of segmentation variables

Create a list from a vector of integers

Maximum of all elements in a list

Product of all elements in a list

Size: total number of elements in a list

Defining optimum partition for a specific variable (regression model)

is_single_decimal

Is single decimal

Sum of all elements in a list

Test presence of factors

Calculating the element of all nodes

test.partition.pls

Calculating the comparison tests

is_single_number

Is single number

Calculating Deepth stop criterion

Length of each element within a list

list_of_vectors

List of vectors

Minimum of all elements in a list

Mean of all elements in a list

vector_to_dummy

Create a dummy matrix from the elements in a vector

create method xtree.pls

Defining optimum partition for a specific variable.

Normalize a vector

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

Summary function for the Pathmox Segmentation Trees: PLS-PM

PLS-SEM results of terminal nodes from the Pathmox Segmentation Trees

PLS-PM: Partial Least Squares Path Modeling

create method treemodel

Calculating the element of the terminal nodes

Same Number of Rows / Columns

test_null_weights

Test outer weights convergence within specified maxiter

test_manifest_scaling

Test scaling of selected manifest variables

create method xtree.reg

test.particion.reg

Calculating the comparison tests for the regression model