engagement_mmm

<p>A <code>tna_mmm</code> object structurally equivalent to a fitted seqHMM
mixture Markov model, used by the package's examples for
<code>group_model()</code> and <code>mmm_stats()</code>. Generated deterministically by
<code>random_tna_mmm()</code> with engagement-flavored state labels and
three clusters; carries no foreign class references so it is safe
to bundle.</p>

datasets

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)

engagement_mmm function

<p>A <code>tna_mmm</code> object containing three clusters over the
states <code>"Engaged"</code>, <code>"Moderate"</code>, <code>"Disengaged"</code>.</p>

engagement_mmm: Example Mixture Markov Model Object for the `engagement` Data

Description

Usage

Arguments

Format

Details

See Also