print.summary.group_tna

Print a Summary of a Grouped Transition Network Analysis Model

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)

print.summary.group_tna function

<dl><dt>x</dt>
<dd>A <code>summary.group_tna</code> object.</dd>
<dt>...</dt>
<dd>Arguments passed to <code>print.summary.tna()</code>.</dd></dl>

Arguments

Print a Summary of a Grouped Transition Network Analysis Model — print.summary.group_tna

<dl>

<dt>x</dt>
<dd>A <code>summary.group_tna</code> object.</dd>


<dt>...</dt>
<dd>Arguments passed to <code>print.summary.tna()</code>.</dd>

</dl>

print.summary.group_tna: Print a Summary of a Grouped Transition Network Analysis Model

Description

Usage

Value

Arguments

See Also

Examples