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tdarec  

A 'recipes' Extension for Persistent Homology and Its Vectorizations
View on CRAN: Click here


Download and install tdarec package within the R console
Install from CRAN:
install.packages("tdarec")

Install from Github:
library("remotes")
install_github("cran/tdarec")

Install by package version:
library("remotes")
install_version("tdarec", "0.2.1")



Attach the package and use:
library("tdarec")
Maintained by
Jason Cory Brunson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-26
Latest Update: 2025-06-20
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.
How to cite:
Jason Cory Brunson (2025). tdarec: A 'recipes' Extension for Persistent Homology and Its Vectorizations. R package version 0.2.1, https://cran.r-project.org/web/packages/tdarec. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:12), 0.1.0 (2025-05-26 14:50), 0.2.0 (2025-06-20 18:50)
Other packages that cited tdarec R package
View tdarec citation profile
Other R packages that tdarec depends, imports, suggests or enhances
Complete documentation for tdarec
Functions, R codes and Examples using the tdarec R package
Full tdarec package functions and examples
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