plot_associations

plot_associations.tna

Provides tools for performing Transition Network Analysis (TNA) to
study relational dynamics, including functions for building and plotting TNA
models, calculating centrality measures, and identifying dominant events and
patterns. TNA statistical techniques (e.g., bootstrapping and permutation
tests) ensure the reliability of observed insights and confirm that
identified dynamics are meaningful. See (Saqr et al., 2025)
<doi:10.1145/3706468.3706513> for more details on TNA.

Sonsoles López-Pernas

Transition Network Analysis (TNA)

plot_associations function

<dl><dt>x</dt>
<dd>A <code>tna</code> object.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>plot_model()</code>.</dd>
<dt>edge.color</dt>
<dd>An optional <code>character</code> vector of colors for the edges.
By default, the colors are specified by the magnitude of the
standardized residual.</dd></dl>

Arguments

Plot an Association Network — plot_associations

<dl>

<dt>x</dt>
<dd>A <code>tna</code> object.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>plot_model()</code>.</dd>


<dt>edge.color</dt>
<dd>An optional <code>character</code> vector of colors for the edges.
By default, the colors are specified by the magnitude of the
standardized residual.</dd>

</dl>

plot_associations: Plot an Association Network

Description

Usage

Value

Arguments

Examples