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: 1.0.0 Depends: R (≥ 4.1.0) Imports: checkmate, cli, colorspace, dplyr, ggplot2, graphics, igraph, qgraph, RColorBrewer, rlang, stats, tibble, tidyr, tidyselect Suggests: gt, knitr, mclust, pracma, rmarkdown, seqHMM, testthat (≥ 3.0.0) Published: 2025-07-15 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 LICENSE URL: https://github.com/sonsoleslp/tna/, http://sonsoles.me/tna/ NeedsCompilation: no Citation: tna citation info Materials: README, NEWS CRAN checks: tna results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=tna to link to this page.
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