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.
Version: | 0.3.0 |
Depends: | R (≥ 4.1.0) |
Imports: | checkmate, cli, colorspace, dplyr, ggplot2, graphics, igraph, qgraph, RColorBrewer, rlang, stats, tibble, tidyr |
Suggests: | gt, knitr, rmarkdown, seqHMM, testthat (≥ 3.0.0) |
Published: | 2024-12-11 |
DOI: | 10.32614/CRAN.package.tna |
Author: | Sonsoles López-Pernas [aut, cre], Santtu Tikka [aut], Mohammed Saqr [aut] |
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/ |
NeedsCompilation: | no |
Citation: | tna citation info |
Materials: | README NEWS |
CRAN checks: | tna results |
Reference manual: | tna.pdf |
Vignettes: |
Finding cliques and communities with tna (source, R code) Getting started with the tna package (source, R code) Using grouped sequence data with tna (source, R code) |
Package source: | tna_0.3.0.tar.gz |
Windows binaries: | r-devel: tna_0.3.0.zip, r-release: tna_0.3.0.zip, r-oldrel: tna_0.3.0.zip |
macOS binaries: | r-release (arm64): tna_0.3.0.tgz, r-oldrel (arm64): tna_0.3.0.tgz, r-release (x86_64): tna_0.3.0.tgz, r-oldrel (x86_64): tna_0.3.0.tgz |
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