mmm_stats

Retrieve statistics from a mixture Markov model (MMM)

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)

mmm_stats function

<dl><dt>x</dt>
<dd>A <code>mhmm</code> object.</dd>
<dt>use_t_dist</dt>
<dd>A <code>logical</code> value. If <code>TRUE</code> (the default), the
t-distribution is used to compute confidence intervals.</dd>
<dt>level</dt>
<dd>A <code>numeric</code> value representing the significance level for
hypothesis testing and confidence intervals. Defaults to <code>0.05</code>.</dd></dl>

Arguments

Retrieve statistics from a mixture Markov model (MMM) — mmm_stats

<dl>

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


<dt>use_t_dist</dt>
<dd>A <code>logical</code> value. If <code>TRUE</code> (the default), the
t-distribution is used to compute confidence intervals.</dd>


<dt>level</dt>
<dd>A <code>numeric</code> value representing the significance level for
hypothesis testing and confidence intervals. Defaults to <code>0.05</code>.</dd>

</dl>

mmm_stats: Retrieve statistics from a mixture Markov model (MMM)

Description

Usage

Value

Arguments

See Also

Examples