sim_tetrads

sim_tetrads:
Simulated data to be used with the vanishing.tetrads function
Data generated using this directed acyclic graph, with L being latent:
L-&gt;X1, L-&gt;X2, L-&gt;X3-&gt;X4

datasets

Conduct dsep tests (piecewise SEM) of a directed, or mixed, acyclic graph
without latent variables (but possibly with implicitly marginalized or
conditioned latent variables that create dependent errors) based on
linear, generalized linear, or additive modelswith or without a
nesting structure for the data. Also included are functions to do desp tests
step-by-step,exploratory path analysis, and Monte Carlo X2 probabilities.
This package accompanies Shipley, B, (2026).Cause and Correlation in Biology:
A User's Guide to Path Analysis, StructuralEquations and
Causal Inference (3rd edition).  Cambridge University Press.

Bill Shipley

pwSEM

Piecewise Structural Equation Modelling

sim_tetrads function

<div class="section" id="-sim-tetrads-">
<h3>'sim_tetrads'</h3>
A data set with 500 rows and 4 columns<dl>
<dt>X1</dt>
<dd>A Gaussian variable</dd><dt>X2</dt>
<dd>A Gaussian variable</dd><dt>X3</dt>
<dd>A Gaussian variable</dd><dt>X4</dt>
<dd>A Gaussian variable</dd>
</dl></div>

Format

sim_tetrads:
Simulated data to be used with the vanishing.tetrads function
Data generated using this directed acyclic graph, with L being latent:
L-&gt;X1, L-&gt;X2, L-&gt;X3-&gt;X4 — sim_tetrads

<div class='section' id='-sim-tetrads-'>
<h3>'sim_tetrads'</h3>


A data set with 500 rows and 4 columns<dl>
<dt>X1</dt>
<dd>A Gaussian variable</dd>

<dt>X2</dt>
<dd>A Gaussian variable</dd>

<dt>X3</dt>
<dd>A Gaussian variable</dd>

<dt>X4</dt>
<dd>A Gaussian variable</dd>


</dl>

</div>

sim_tetrads:
Simulated data to be used with the vanishing.tetrads function
Data generated using this directed acyclic graph, with L being latent:
L-&gt;X1, L-&gt;X2, L-&gt;X3-&gt;X4

sim_tetrads: sim_tetrads: Simulated data to be used with the vanishing.tetrads function Data generated using this directed acyclic graph, with L being latent: L->X1, L->X2, L->X3->X4

Description

Usage

Arguments

Format

'sim_tetrads'