comb

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internal

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 package also allows running the hybrid multi-group approach (Lamberti (2021)
<doi:10.1007/s11135-021-01096-9>).

Giuseppe Lamberti

genpathmox

Pathmox Approach Segmentation Tree Analysis

comb function

<dl><dt>n</dt>
<dd>size of the source vector</dd>
<dt>r</dt>
<dd>size of the target vectors</dd>
<dt>v</dt>
<dd>source vector. Defaults to 1:n</dd>
<dt>set</dt>
<dd>logical flag indicating whether duplicates should be removed from the 
source vector v</dd>
<dt>repeats.allowed</dt>
<dd>logical flag indicating whether the constructed vectors may include 
duplicated values</dd></dl>

Arguments

Combinations of a vector element — comb

<dl>

<dt>n</dt>
<dd>size of the source vector</dd>


<dt>r</dt>
<dd>size of the target vectors</dd>


<dt>v</dt>
<dd>source vector. Defaults to 1:n</dd>


<dt>set</dt>
<dd>logical flag indicating whether duplicates should be removed from the 
source vector v</dd>


<dt>repeats.allowed</dt>
<dd>logical flag indicating whether the constructed vectors may include 
duplicated values</dd>

</dl>

comb: Combinations of a vector element

Description

Usage

Value

Arguments

Details