sim_normal.no.nesting

sim_normal.no.nesting
Simulated data with correlated errors involving endogenous
variables, normally-distributed data and without any grouping structure
Data generated using this mixed acyclic graph:
X1-&gt;X2-&gt;X3-&gt;X4 and X2&lt;-&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_normal.no.nesting function

<div class="section" id="-sim-normal-no-nesting-">
<h3>'sim_normal.no.nesting'</h3>
A data set with 100 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_normal.no.nesting
Simulated data with correlated errors involving endogenous
variables, normally-distributed data and without any grouping structure
Data generated using this mixed acyclic graph:
X1-&gt;X2-&gt;X3-&gt;X4 and X2&lt;-&gt;X4 — sim_normal.no.nesting

<div class='section' id='-sim-normal-no-nesting-'>
<h3>'sim_normal.no.nesting'</h3>


A data set with 100 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_normal.no.nesting
Simulated data with correlated errors involving endogenous
variables, normally-distributed data and without any grouping structure
Data generated using this mixed acyclic graph:
X1-&gt;X2-&gt;X3-&gt;X4 and X2&lt;-&gt;X4

sim_normal.no.nesting: sim_normal.no.nesting Simulated data with correlated errors involving endogenous variables, normally-distributed data and without any grouping structure Data generated using this mixed acyclic graph: X1->X2->X3->X4 and X2<->X4

Description

Usage

Arguments

Format

'sim_normal.no.nesting'