Package: tna 1.2.3

tna: Transition Network Analysis (TNA)

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.

Authors:Mohammed Saqr [aut], Santtu Tikka [aut], Sonsoles López-Pernas [aut, cre, cph]

tna_1.2.3.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tna/json (API)

# Install 'tna' in R:

install.packages('tna', repos = c('https://sonsoleslp.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sonsoleslp/tna/issues

Pkgdown/docs site:https://sonsoles.me

Datasets:

engagement - Example Data on Student Engagement
engagement_mmm - Example Mixture Markov Model Object for the 'engagement' Data
group_regulation - Example Wide Data on Group Regulation
group_regulation_long - Example Long Data on Group Regulation

On CRAN:

educational-data-mining learning-analytics markov-model temporal-analysis

7.56 score 12 stars 60 scripts 674 downloads 47 exports 37 dependencies

Last updated from:486223554d. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	250
source / vignettes	OK	364
linux-release-x86_64	OK	215
macos-release-arm64	OK	154
macos-oldrel-arm64	OK	108
windows-devel	OK	187
windows-release	OK	156
windows-oldrel	OK	155
wasm-release	OK	138

Exports:as.igraph atna betweenness_network bootstrap bootstrap_cliques build_model centralities cliques cluster_data cluster_sequences communities compare compare_sequences ctna deprune estimate_centrality_stability estimate_cs ftna group_atna group_ctna group_ftna group_model group_tna import_data import_onehot list_random_state_pools mmm_stats permutation_test plot_associations plot_compare plot_frequencies plot_model plot_mosaic plot_sequences prepare_data prune pruning_details random_group_tna random_tna random_tna_mmm reliability rename_groups reprune simulate sna tna tsn

Dependencies:backports checkmate cli cluster cograph colorspace cpp11 dplyr farver generics ggplot2 glue gtable igraph isoband labeling lattice lifecycle magrittr Matrix pillar pkgconfig purrr R6 RColorBrewer rlang S7 scales stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr

Using grouped sequence data with tna

Rendered fromgrouped_sequences.Rmdusingknitr::rmarkdown

Last update: 2026-04-26
Started: 2024-12-05

A showcase of the main tna functions

Rendered fromcomplete_tutorial.Rmdusingknitr::rmarkdown

Last update: 2026-03-03
Started: 2025-02-28

Getting started with the tna package

Rendered fromtna.Rmdusingknitr::rmarkdown

Last update: 2026-03-03
Started: 2025-02-28

Finding cliques and communities with tna

Rendered fromcommunities_and_cliques.Rmdusingknitr::rmarkdown

Last update: 2026-02-11
Started: 2024-12-05

How to prepare data for tna

Rendered fromprepare_data.Rmdusingknitr::rmarkdown

Last update: 2025-07-14
Started: 2025-02-28

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The 'tna' Package.	tna-package
Coerce a Specific Group from a 'group_tna' Object into an 'igraph' Object.	as.igraph.group_tna
Coerce a Weight Matrix into an 'igraph' Object.	as.igraph.matrix
Coerce a 'tna' Object into an 'igraph' Object.	as.igraph.tna
Build and Visualize a Network with Edge Betweenness	betweenness_network betweenness_network.tna
Bootstrap Transition Networks from Sequence Data	bootstrap bootstrap.group_tna bootstrap.tna
Bootstrap Cliques of Transition Networks from Sequence Data	bootstrap_cliques bootstrap_cliques.tna
Build a Transition Network Analysis Model	atna build_model build_model.data.frame build_model.default build_model.matrix build_model.stslist build_model.tna_data build_model.tsn ctna ftna tna tsn
Calculate Centrality Measures for a Transition Matrix	centralities centralities.group_tna centralities.matrix centralities.tna
Identify Cliques in a Transition Network	cliques cliques.group_tna cliques.tna
Clustering via Dissimilarity Matrix based on String Distances	cluster_data cluster_sequences
Community Detection for Transition Networks	communities communities.group_tna communities.tna
Compare Two Matrices or TNA Models with Comprehensive Metrics	compare compare.matrix compare.tna
Compare Sequences Between Groups	compare_sequences compare_sequences.default compare_sequences.group_tna
Compare Grouped TNA Models with Comprehensive Metrics	compare.group_tna
Restore a Pruned Transition Network Analysis Model	deprune deprune.group_tna deprune.tna reprune.tna
Example Data on Student Engagement	engagement
Example Mixture Markov Model Object for the 'engagement' Data	engagement_mmm
Estimate Centrality Stability	estimate_centrality_stability estimate_centrality_stability.group_tna estimate_centrality_stability.tna estimate_cs estimate_cs.group_tna estimate_cs.tna
Build a Grouped Transition Network Analysis Model	group_atna group_ctna group_ftna group_model group_model.default group_model.mhmm group_model.tna_clustering group_model.tna_mmm group_tna
Example Wide Data on Group Regulation	group_regulation
Example Long Data on Group Regulation	group_regulation_long
Plot a Histogram of Edge Weights for a 'group_tna' Object.	hist.group_tna
Plot a Histogram of Edge Weights in the Network	hist.tna
Import Wide Format Sequence Data as Long Format Sequence Data	import_data
Import One-Hot Data	import_onehot
List Built-in Label Pools for 'random_tna()'	list_random_state_pools
Retrieve Statistics from a Mixture Markov Model (MMM)	mmm_stats mmm_stats.mhmm mmm_stats.tna_mmm
Compare Two Networks from Sequence Data using a Permutation Test	permutation_test permutation_test.tna
Compare Networks using a Permutation Test	permutation_test.group_tna
Plot an Association Network	plot_associations plot_associations.tna
Plot the Difference Network Between Two Models	plot_compare plot_compare.tna
Plot the Difference Network Between Two Groups	plot_compare.group_tna
Plot the Frequency Distribution of States	plot_frequencies plot_frequencies.tna
Plot the Frequency Distribution of States	plot_frequencies.group_tna
Create a Mosaic Plot of Transitions or Events	plot_mosaic plot_mosaic.tna
Plot State Frequencies as a Mosaic Between Two Groups	plot_mosaic.group_tna
Plot State Frequencies as a Mosaic Between Two Groups	plot_mosaic.tna_data
Create a Sequence Index Plot or a Distribution Plot	plot_sequences plot_sequences.default plot_sequences.group_tna plot_sequences.tna plot_sequences.tna_data
Plot a Grouped Transition Network Analysis Model	plot.group_tna
Plot a Bootstrapped Grouped Transition Network Analysis Model	plot.group_tna_bootstrap
Plot Centrality Measures	plot.group_tna_centralities
Plot Found Cliques	plot.group_tna_cliques
Plot Detected Communities	plot.group_tna_communities
Plot Permutation Test Results	plot.group_tna_permutation
Plot Centrality Stability Results	plot.group_tna_stability
Plot a Transition Network Analysis Model	plot.tna
Plot a Bootstrapped Transition Network Analysis Model	plot.tna_bootstrap
Plot Centrality Measures	plot.tna_centralities
Plot Cliques of a TNA Network	plot.tna_cliques
Plot Communities	plot.tna_communities
Plot the Comparison of Two TNA Models or Matrices	plot.tna_comparison
Plot the Significant Differences from a Permutation Test	plot.tna_permutation
Plot Reliability Analysis Results	plot.tna_reliability
Plot a Sequence Comparison	plot.tna_sequence_comparison
Plot Centrality Stability Results	plot.tna_stability
Compute User Sessions from Event Data	prepare_data
Print a 'group_tna' Object	print.group_tna
Print 'group_tna' Bootstrap Results	print.group_tna_bootstrap
Print Centrality Measures	print.group_tna_centralities
Print Found Cliques	print.group_tna_cliques
Print Detected Communities	print.group_tna_communities
Print Permutation Test Results	print.group_tna_permutation
Print Centrality Stability Results	print.group_tna_stability
Print a Summary of a Grouped Transition Network Analysis Model	print.summary.group_tna
Print a Bootstrap Summary for a Grouped Transition Network Model	print.summary.group_tna_bootstrap
Print a TNA Summary	print.summary.tna
Print a Bootstrap Summary	print.summary.tna_bootstrap
Print a 'tna' Object	print.tna
Print Bootstrap Results	print.tna_bootstrap
Print Centrality Measures	print.tna_centralities
Print Found Cliques of a TNA Network	print.tna_cliques
Print the Results of Clustering	print.tna_clustering
Print Detected Communities	print.tna_communities
Print Comparison Results	print.tna_comparison
Print a TNA Data Object	print.tna_data
Print Permutation Test Results	print.tna_permutation
Print Reliability Analysis Results	print.tna_reliability
Print a Comparison of Sequences	print.tna_sequence_comparison
Print Centrality Stability Results	print.tna_stability
Prune a Transition Network based on Transition Probabilities	prune prune.group_tna prune.tna
Print Detailed Information on the Pruning Results	pruning_details pruning_details.group_tna pruning_details.tna
Build a Random Group Transition Network Analysis Model	random_group_tna
Build a Random Transition Network Analysis Model	random_tna
Build a Random Mixture Markov Model Object	random_tna_mmm
Assess Model Reliability	reliability reliability.tna
Rename Groups	rename_groups
Restore Previous Pruning of a Transition Network Analysis Model	reprune reprune.group_tna
Simulate Method (Re-export of stats::simulate)	simulate
Simulate Data from a Group Transition Network Analysis Model	simulate.group_tna
Simulate Data from a Transition Network Analysis Model	simulate.tna
Build a Social Network Analysis Model	sna
Calculate Summary of Network Metrics for a grouped Transition Network	summary.group_tna
Summarize Bootstrap Results for a Grouped Transition Network	summary.group_tna_bootstrap
Calculate Summary of Network Metrics for a Transition Network	summary.tna
Summarize Bootstrap Results	summary.tna_bootstrap