print.summary.tna_bootstrap

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.tna_bootstrap function

<dl><dt>x</dt>
<dd>A <code>summary.tna_bootstrap</code> object.</dd>
<dt>...</dt>
<dd>Arguments passed to the generic <code>print</code> method.</dd></dl>

Arguments

Print Bootstrap Summary — print.summary.tna_bootstrap

<dl>

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


<dt>...</dt>
<dd>Arguments passed to the generic <code>print</code> method.</dd>

</dl>

print.summary.tna_bootstrap: Print Bootstrap Summary

Description

Usage

Value

Arguments

Examples