plot.seminr_model

With the help of the <code>DiagrammeR</code> package this dot graph can then be plotted in
various in RMarkdown, shiny, and other contexts.
Depending on the type of model, different parameters can be used.
Please check the <code>dot_graph</code> function for additional parameters.

A powerful, easy to syntax for specifying and estimating complex
Structural Equation Models. Models can be estimated using Partial
Least Squares Path Modeling or Covariance-Based Structural Equation
Modeling or covariance based Confirmatory Factor Analysis. Methods described in Ray, Danks, and Valdez (2021).

Nicholas Danks

seminr

Building and Estimating Structural Equation Models

Soumya Ray

Nicholas Patrick Danks

André Calero Valdez

Juan Manuel Velasquez Estrada

James Uanhoro

Johannes Nakayama

Lilian Koyan

Laura Burbach

Arturo Heynar Cano Bejar

Susanne Adler

plot.seminr_model function

<dl><dt>x</dt>
<dd>The model description</dd>
<dt>title</dt>
<dd>An optional title for the plot</dd>
<dt>theme</dt>
<dd>Theme created with <code>seminr_theme_create</code>.</dd>
<dt>...</dt>
<dd>Please check the <code>dot_graph</code> for the additional parameters</dd></dl>

Arguments

Plot various SEMinR models — plot.seminr_model

<dl>

<dt>x</dt>
<dd>The model description</dd>


<dt>title</dt>
<dd>An optional title for the plot</dd>


<dt>theme</dt>
<dd>Theme created with <code>seminr_theme_create</code>.</dd>


<dt>...</dt>
<dd>Please check the <code>dot_graph</code> for the additional parameters</dd>

</dl>

Plot various SEMinR models

plot.seminr_model: Plot various SEMinR models

Description

Usage

Value

Arguments