.group_tna_to_mcml

Two modes depending on whether <code>clusters</code> is provided:<dl>
<dt>With clusters (row-level)</dt>
<dd>For group_tna from
<code>tna::group_model(cluster_data(...))</code>. <code>clusters</code> is the
row-to-group assignments. Per-cluster tnas are taken as-is.
Macro data is the assignments vector.</dd><dt>Without clusters (node-level)</dt>
<dd>For group_tna from
<code>as_tna(cluster_summary(...))</code>. Cluster membership inferred
from each tna's labels. Macro rebuilt from original data.</dd>
</dl>

internal

Provides tools for the analysis, visualization, and manipulation
of dynamical, social (Saqr et al. (2024) <doi:10.1007/978-3-031-54464-4_10>) and
complex networks (Saqr et al. (2025) <doi:10.1145/3706468.3706513>). The package
supports multiple network formats and offers flexible tools for heterogeneous,
multi-layer, and hierarchical network analysis with simple syntax and
extensive toolset.

Sonsoles López-Pernas

cograph

Analysis and Visualization of Complex Networks

Mohammed Saqr

Santtu Tikka

.group_tna_to_mcml function

Two modes depending on whether <code>clusters</code> is provided:<dl>
<dt>With clusters (row-level)</dt>
<dd>For group_tna from
<code>tna::group_model(cluster_data(...))</code>. <code>clusters</code> is the
row-to-group assignments. Per-cluster tnas are taken as-is.
Macro data is the assignments vector.</dd>

<dt>Without clusters (node-level)</dt>
<dd>For group_tna from
<code>as_tna(cluster_summary(...))</code>. Cluster membership inferred
from each tna's labels. Macro rebuilt from original data.</dd>


</dl>

.group_tna_to_mcml: Convert a group_tna to mcml

Description

Usage

Arguments