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.
Version: |
0.5.0 |
Depends: |
R (≥ 4.1.0) |
Imports: |
checkmate, cli, colorspace, dplyr, ggplot2, graphics, igraph, qgraph, RColorBrewer, rlang, stats, tibble, tidyr, tidyselect |
Suggests: |
gt, knitr, mixtools, pracma, rmarkdown, seqHMM, testthat (≥
3.0.0) |
Published: |
2025-05-26 |
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:
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