format_endo_node_label

Helps to render a node label for endogenous variables

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

format_endo_node_label function

<dl><dt>theme</dt>
<dd>the theme to use</dd>
<dt>name</dt>
<dd>the content of the name placeholder</dd>
<dt>rstring</dt>
<dd>the content of the rstring placeholder</dd></dl>

Arguments

Helps to render a node label for endogenous variables — format_endo_node_label

<dl>

<dt>theme</dt>
<dd>the theme to use</dd>


<dt>name</dt>
<dd>the content of the name placeholder</dd>


<dt>rstring</dt>
<dd>the content of the rstring placeholder</dd>

</dl>

Helps to render a node label for endogenous variables

format_endo_node_label: Helps to render a node label for endogenous variables

Description

Usage

Value

Arguments