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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "tdarec" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'tdarec: A ''recipes'' Extension for Persistent Homology and Its Vectorizations'
version: 0.2.1
doi: 10.32614/CRAN.package.tdarec
abstract: Topological data analytic methods in machine learning rely on vectorizations
  of the persistence diagrams that encode persistent homology, as surveyed by Ali
  &al (2000) <https://doi.org/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.
authors:
- family-names: Brunson
  given-names: Jason Cory
  email: cornelioid@gmail.com
repository: https://tdaverse.r-universe.dev
repository-code: https://github.com/tdaverse/tdarec
commit: bc9706077064d755b089cccdc1b5133d7e0b72c9
url: https://github.com/tdaverse/tdarec
date-released: '2026-04-13'
contact:
- family-names: Brunson
  given-names: Jason Cory
  email: cornelioid@gmail.com