check_modes

<p>character vector indicating the type of measurement for each
block. Values regular user can choose: <code>"A", "B", "newA"</code>
Values Expert user can choose: <code>"A", "B", "newA", "PLScore", "PLScow"</code>. 
The length of <code>modes</code> must be equal to the length of <code>blocks</code>.</p>

modes

<p>list defining the blocks of manifest variables</p>

blocks

internal

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.

check_modes: Check modes

Description

Usage

Arguments

Value

Details