summary.RICF

Generate a summary for a RICF solver similar to
lavaan-formatted summary

Estimate networks and causal relationships in complex systems through
Structural Equation Modeling. This package also includes functions to import,
weight, manipulate, and fit biological network models within the
Structural Equation Modeling framework proposed in
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.RICF function

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

Arguments

Mario Grassi <a href="/link/mario.grassi%40unipv.it?package=SEMgraph&version=1.2.2" data-mini-rdoc="SEMgraph::mario.grassi@unipv.it">mario.grassi@unipv.it</a>

Author

RICF model summary — summary.RICF

<dl>

<dt>object</dt>
<dd>A RICF 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.RICF: RICF model summary

Description

Usage

Value

Arguments

Author

See Also

Examples