Package: transitiontrees
Type: Package
Title: Pathway Trees and Predictive Pathway Discovery in Sequence Data
Version: 0.1.2
Authors@R: c(
    person(given = "Mohammed",
           family = "Saqr",
           email = "saqr@saqr.me",
           role = c("aut", "cre", "cph")))
Description: Discovers, ranks, and interprets predictive pathways in
        categorical sequence data. Fits a variable-depth pathway tree
        (prediction suffix tree; Ron, Singer and Tishby (1996)
        <doi:10.1023/A:1026490906255>) and exposes a pathway-centric
        application programming interface: most common pathways, most
        predictively divergent pathways, sharpest pathways, modal-flip
        diagnostics, and next-state predictions. Multiple pruning
        criteria (likelihood-ratio G-squared, Kullback-Leibler
        divergence, and the Akaike and Bayesian information criteria),
        smoothing for unseen contexts, and sequence sampling are
        supported. The fit and predictive surface are validated to
        machine precision against an independent external reference
        implementation of the model.
License: GPL-3
URL: https://github.com/mohsaqr/transitiontrees
BugReports: https://github.com/mohsaqr/transitiontrees/issues
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1)
Imports: ggplot2, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, TraMineR, ggraph,
        tidygraph, ggforce, visNetwork, tna, Nestimate
Additional_repositories: https://mohsaqr.r-universe.dev
VignetteBuilder: knitr
Config/testthat/edition: 3
Roxygen: list(markdown = FALSE)
RoxygenNote: 7.3.3
Repository: https://mohsaqr.r-universe.dev
Date/Publication: 2026-10-16 15:00:36 UTC
RemoteUrl: https://github.com/mohsaqr/transitiontrees
RemoteRef: HEAD
RemoteSha: 83add7aae8fd4a2e09491c70e3fc537c5b81f347
NeedsCompilation: no
Packaged: 2026-10-16 17:43:26 UTC; root
Author: Mohammed Saqr [aut, cre, cph]
Maintainer: Mohammed Saqr <saqr@saqr.me>