doi:10.1145/3706468.3706513> for more details on TNA.">

tna: Transition Network Analysis (TNA) (original) (raw)

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.

Version: 1.1.0
Depends: R (≥ 4.1.0)
Imports: checkmate, cli, cluster, colorspace, dplyr, ggplot2, graphics, igraph, qgraph, RColorBrewer, rlang, stats, stringdist, tibble, tidyr, tidyselect
Suggests: gt, knitr, pracma, rmarkdown, seqHMM, testthat (≥ 3.0.0)
Published: 2025-10-18
DOI: 10.32614/CRAN.package.tna
Author: Mohammed Saqr [aut], Santtu Tikka [aut], Sonsoles López-Pernas [aut, cre]
Maintainer: Sonsoles López-Pernas <sonsoles.lopez at uef.fi>
BugReports: https://github.com/sonsoleslp/tna/issues/
License: MIT + file
URL: https://github.com/sonsoleslp/tna/, http://sonsoles.me/tna/
NeedsCompilation: no
Citation: tna citation info
Materials: README, NEWS
CRAN checks: tna results

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