Package: tna 0.3.1

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., 2024) <doi:10.48550/arXiv.2411.15486> for more details on TNA.

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

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tna/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

3.93 score 1 stars 3 scripts 61 downloads 26 exports 91 dependencies

Last updated 10 days agofrom:4bd41f89b2. Checks:ERROR: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesFAILDec 16 2024
R-4.5-winWARNINGDec 16 2024
R-4.5-linuxWARNINGDec 16 2024
R-4.4-winWARNINGDec 16 2024
R-4.4-macWARNINGDec 16 2024
R-4.3-winWARNINGDec 16 2024
R-4.3-macWARNINGDec 16 2024

Exports:as.igraphbetweenness_networkbootstrapbuild_modelcentralitiescliquescommunitiesctnadepruneestimate_centrality_stabilityestimate_csevent2sequenceftnagroup_ctnagroup_ftnagroup_modelgroup_tnammm_statspermutation_testplot_compareplot_modelprunepruning_detailsrename_groupsreprunetna

Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestdplyrevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclemagrittrMASSMatrixmemoisemgcvmimemnormtmunsellnlmennetnumDerivpbapplypbivnormpillarpkgconfigplyrpngpsychpurrrqgraphquadprogR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
The 'tna' package.tna-package
Coerce a specific group from a 'group_tna' object to an 'igraph' object.as.igraph.group_tna
Coerce a 'tna' object to an 'igraph' object.as.igraph.tna
Build and Visualize a Network with Edge Betweennessbetweenness_network betweenness_network.tna
Bootstrap Transition Networks from Sequence Databootstrap bootstrap.group_tna bootstrap.tna
Build a Transition Network Analysis Modelbuild_model build_model.data.frame build_model.default build_model.matrix build_model.stslist ctna ftna group_ctna group_ftna group_tna tna
Calculate Centrality Measures for a Transition Matrixcentralities centralities.group_tna centralities.matrix centralities.tna
Identify Cliques in a Transition Networkcliques cliques.group_tna cliques.tna
Community Detection for Transition Networkscommunities communities.group_tna communities.tna
Restore a Pruned Transition Network Analysis Modeldeprune deprune.group_tna deprune.tna reprune.tna
Example data on student engagementengagement
Example mixed Markov model fitted to the 'engagement' dataengagement_mmm
Estimate Centrality Stabilityestimate_centrality_stability estimate_centrality_stability.group_tna estimate_centrality_stability.tna estimate_cs estimate_cs.group_tna estimate_cs.tna
Parse Event Data Into Sequence Dataevent2sequence
Build a grouped Transition Network Analysis Modelgroup_model group_model.default group_model.mhmm
Example data on group regulationgroup_regulation
Plot a Histogram of Edge Weights for a 'group_tna' Object.hist.group_tna
Plot a Histogram of Edge Weights in the Networkhist.tna
Retrieve statistics from a mixture Markov model (MMM)mmm_stats
Compare Two Networks from Sequence Data Using Permutation Testspermutation_test
Plot the difference network between two modelsplot_compare
Plot a Transition Network Model from a Matrix of Edge Weightsplot_model
Plot a grouped Transition Network Analysis Modelplot.group_tna
Plot Centrality Measuresplot.group_tna_centralities
Plot Found Cliquesplot.group_tna_cliques
Plot Found Communitiesplot.group_tna_communities
Plot Centrality Stability Resultsplot.group_tna_stability
Plot a Transition Network Analysis Modelplot.tna
Plot Centrality Measuresplot.tna_centralities
Plot Cliques of a TNA Networkplot.tna_cliques
Plot Communitiesplot.tna_communities
Plot the Significant Differences from a Permutation Testplot.tna_permutation
Plot Centrality Stability Resultsplot.tna_stability
Print a 'group_tna' Objectprint.group_tna
Print 'group_tna' Bootstrap Resultsprint.group_tna_bootstrap
Print Centrality Measuresprint.group_tna_centralities
Print Found Cliquesprint.group_tna_cliques
Print Detected Communitiesprint.group_tna_communities
Print Centrality Stability Resultsprint.group_tna_stability
Print the summary of a grouped Transition Network Analysis Modelprint.summary.group_tna
Print Bootstrap Summary for a Grouped Transition Networkprint.summary.group_tna_bootstrap
Print a TNA Summaryprint.summary.tna
Print Bootstrap Summaryprint.summary.tna_bootstrap
Print a 'tna' objectprint.tna
Print Bootstrap Resultsprint.tna_bootstrap
Print Centrality Measuresprint.tna_centralities
Print Found Cliques of a TNA Networkprint.tna_cliques
Print Detected Communitiesprint.tna_communities
Print Permutation Test Resultsprint.tna_permutation
Print Centrality Stability Resultsprint.tna_stability
Prune a 'tna' network based on transition probabilitiesprune prune.group_tna prune.tna
Print Detailed Information on the Pruning Resultspruning_details pruning_details.group_tna pruning_details.tna
Rename clustersrename_groups
Restore Previous Pruning of a Transition Network Analysis Modelreprune reprune.group_tna
Calculate Summary of Network Metrics for a grouped Transition Networksummary.group_tna
Summarize Bootstrap Results for a Grouped Transition Networksummary.group_tna_bootstrap
Calculate Summary of Network Metrics for a Transition Networksummary.tna
Summarize Bootstrap Resultssummary.tna_bootstrap