get_info

internal

Implements the Quantile Composite-based Path Modeling approach
(Davino and Vinzi, 2016 <doi:10.1007/s11634-015-0231-9>;
Dolce et al., 2021 <doi:10.1007/s11634-021-00469-0>). The method complements the traditional PLS Path Modeling approach, analyzing the entire distribution of outcome variables and, therefore, overcoming the classical exploration of only average effects. It exploits quantile regression to investigate changes in the relationships among constructs and between constructs and observed variables.

Giuseppe Lamberti

qcpm

Quantile Composite Path Modeling

Cristina Davino

Pasquale Dolce

Domenico Vistocco

get_info function

<dl><dt>data</dt>
<dd>matrix or data frame containing the manifest variables.</dd>
<dt>inner</dt>
<dd>A square (lower triangular) boolean matrix representing 
the inner model (i.e. the path relationships between latent variables).</dd>
<dt>outer</dt>
<dd>list of vectors with column indices or column names
from <code>data</code> indicating the sets of manifest variables forming 
each block (i.e. which manifest variables correspond to each block).</dd>
<dt>modes</dt>
<dd>character vector indicating the type of measurement for each
block. Possible values are: <code>'A', 'B'</code>. 
The length of <code>modes</code> must be equal to the length of <code>blocks</code>.</dd>
<dt>scheme</dt>
<dd>string indicating the type of inner weighting
scheme. It is equal to <code>"factorial"</code> by default.
 Possible values are <code>"centroid"</code>, <code>"factorial"</code>.</dd>
<dt>tau</dt>
<dd>if sepcifed indicate the specific quantile to be considered</dd>
<dt>tau_Alg</dt>
<dd>is the vector of quantile specified by default. It is 
equal to (0.25,0.50,0.75).</dd>
<dt>fix.quantile</dt>
<dd>is boolean equal to <code>FALSE</code> or <code>TRUE</code>
indiciating whether invariance is holded.</dd>
<dt>...</dt>
<dd>Further arguments passed on to <code>get_info</code>.</dd></dl>

Arguments

get_info — get_info

<dl>

<dt>data</dt>
<dd>matrix or data frame containing the manifest variables.</dd>


<dt>inner</dt>
<dd>A square (lower triangular) boolean matrix representing 
the inner model (i.e. the path relationships between latent variables).</dd>


<dt>outer</dt>
<dd>list of vectors with column indices or column names
from <code>data</code> indicating the sets of manifest variables forming 
each block (i.e. which manifest variables correspond to each block).</dd>


<dt>modes</dt>
<dd>character vector indicating the type of measurement for each
block. Possible values are: <code>'A', 'B'</code>. 
The length of <code>modes</code> must be equal to the length of <code>blocks</code>.</dd>


<dt>scheme</dt>
<dd>string indicating the type of inner weighting
scheme. It is equal to <code>"factorial"</code> by default.
 Possible values are <code>"centroid"</code>, <code>"factorial"</code>.</dd>


<dt>tau</dt>
<dd>if sepcifed indicate the specific quantile to be considered</dd>


<dt>tau_Alg</dt>
<dd>is the vector of quantile specified by default. It is 
equal to (0.25,0.50,0.75).</dd>


<dt>fix.quantile</dt>
<dd>is boolean equal to <code>FALSE</code> or <code>TRUE</code>
indiciating whether invariance is holded.</dd>


<dt>...</dt>
<dd>Further arguments passed on to <code>get_info</code>.</dd>

</dl>

get_info: get_info

Description

Usage

Value

Arguments

Details