wellerd2/lavaan_helper_functions: v0.1.0 — First public release

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Autor principal: Daniel Weller
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Publicado: Zenodo 2026
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author Daniel Weller
author_facet Daniel Weller
contents <h2>v0.1.0 – Initial public release</h2> <p>This is the first public release of <strong>lavaan_helper_functions</strong>, a set of utilities for implementing structural equation models in R using the <code>lavaan</code> package.</p> <p>The package provides helper functions to:</p> <ol> <li>label all structural regression coefficients (<code>~</code>) in a lavaan model using Excel-style labels (<code>a</code>, <code>b</code>, …, <code>aa</code>, …),</li> <li>build the corresponding directed regression graph,</li> <li>quantify direct, indirect, and total effects for selected outcomes via derived parameters (<code>:=</code>).</li> </ol> <h3>What is computed</h3> <p>For each selected outcome <code>Y</code>, the functions compute:</p> <ul> <li>Direct effects for each upstream <code>X</code></li> <li>Indirect effects for each upstream <code>X</code> (summing products over all directed paths)</li> <li>Total effects (direct + indirect)</li> </ul> <h3>Assumptions and scope</h3> <ul> <li>The structural model is a directed acyclic graph (no reciprocal paths).</li> <li>Indirect effects are computed only along directed regression paths (<code>~</code>).</li> <li>Correlated residuals (<code>~~</code>) are not treated as causal pathways.</li> </ul> <p>This initial release reflects the current working implementation and should be considered experimental.</p>
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publishDate 2026
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spellingShingle wellerd2/lavaan_helper_functions: v0.1.0 — First public release
Daniel Weller
<h2>v0.1.0 – Initial public release</h2> <p>This is the first public release of <strong>lavaan_helper_functions</strong>, a set of utilities for implementing structural equation models in R using the <code>lavaan</code> package.</p> <p>The package provides helper functions to:</p> <ol> <li>label all structural regression coefficients (<code>~</code>) in a lavaan model using Excel-style labels (<code>a</code>, <code>b</code>, …, <code>aa</code>, …),</li> <li>build the corresponding directed regression graph,</li> <li>quantify direct, indirect, and total effects for selected outcomes via derived parameters (<code>:=</code>).</li> </ol> <h3>What is computed</h3> <p>For each selected outcome <code>Y</code>, the functions compute:</p> <ul> <li>Direct effects for each upstream <code>X</code></li> <li>Indirect effects for each upstream <code>X</code> (summing products over all directed paths)</li> <li>Total effects (direct + indirect)</li> </ul> <h3>Assumptions and scope</h3> <ul> <li>The structural model is a directed acyclic graph (no reciprocal paths).</li> <li>Indirect effects are computed only along directed regression paths (<code>~</code>).</li> <li>Correlated residuals (<code>~~</code>) are not treated as causal pathways.</li> </ul> <p>This initial release reflects the current working implementation and should be considered experimental.</p>
title wellerd2/lavaan_helper_functions: v0.1.0 — First public release
url https://doi.org/10.5281/zenodo.18500750