summary.GGM

Generate a summary for a constrained Gaussian Graphical
Model (GGM) similar to lavaan-formated summary

Estimate networks and causal relationships in complex systems through
Structural Equation Modeling. This package also includes functions for importing,
weight, manipulate, and fit biological network models within the
Structural Equation Modeling framework as outlined in the Supplementary Material of
Grassi M, Palluzzi F, Tarantino B (2022) <doi:10.1093/bioinformatics/btac567>.

Barbara Tarantino

SEMgraph

Network Analysis and Causal Inference Through Structural
Equation Modeling

Mario Grassi

Fernando Palluzzi

summary.GGM function

<dl><dt>object</dt>
<dd>A constrained GGM fitted model object.</dd>
<dt>...</dt>
<dd>Currently ignored.</dd></dl>

Arguments

Mario Grassi <a href="/link/mario.grassi%40unipv.it?package=SEMgraph&version=1.2.3" data-mini-rdoc="SEMgraph::mario.grassi@unipv.it">mario.grassi@unipv.it</a>

Author

GGM model summary — summary.GGM

<dl>

<dt>object</dt>
<dd>A constrained GGM fitted model object.</dd>


<dt>...</dt>
<dd>Currently ignored.</dd>

</dl>

Mario Grassi <a href='mailto:mario.grassi@unipv.it'>mario.grassi@unipv.it</a>

summary.GGM: GGM model summary

Description

Usage

Value

Arguments

Author

See Also

Examples