tdarec/DESCRIPTION at main · tdaverse/tdarec · GitHub

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Package: tdarec
Title: A 'recipes' Extension for Persistent Homology and Its
    Vectorizations
Version: 0.2.1
Authors@R:
    person("Jason Cory", "Brunson", , "cornelioid@gmail.com", role = c("cre", "aut"))
Description: Topological data analytic methods in machine learning rely on
    vectorizations of the persistence diagrams that encode persistent
    homology, as surveyed by Ali &al (2000)
    <doi:10.48550/arXiv.2212.09703>.  Persistent homology can be computed
    using 'TDA' and 'ripserr' and vectorized using 'TDAvec'.  The
    Tidymodels package collection modularizes machine learning in R for
    straightforward extensibility; see Kuhn & Silge (2022,
    ISBN:978-1-4920-9644-3).  These 'recipe' steps and 'dials' tuners make
    efficient algorithms for computing and vectorizing persistence
    diagrams available for Tidymodels workflows.
License: GPL (>= 3)
URL: https://github.com/tdaverse/tdarec
BugReports: https://github.com/tdaverse/tdarec/issues
Depends:
    R (>= 3.5.0),
    recipes (>= 0.1.17),
    dials
Imports:
    rlang (>= 1.1.0),
    vctrs (>= 0.5.0),
    scales,
    tibble,
    purrr (>= 1.0.0),
    tidyr,
    magrittr
Suggests:
    cli,
    ripserr (>= 0.1.1),
    TDA,
    TDAvec (>= 0.1.4),
    testthat (>= 3.0.0),
    modeldata,
    tdaunif,
    knitr (>= 1.20),
    rmarkdown (>= 1.10),
    tidymodels,
    ranger
VignetteBuilder:
    knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2