A low-level package for hosting persistence data. It is part of the 'TDAverse' suite of packages, which is designed to provide a collection of packages for enabling machine learning and data science tasks using persistent homology. Implements a class for hosting persistence data, a number of coercers from and to already existing and used data structures from other packages and functions to compute distances between persistence diagrams. A formal definition and study of bottleneck and Wasserstein distances can be found in Bubenik, Scott and Stanley (2023) <doi:10.1007/s41468-022-00103-8>. Their implementation in 'phutil' relies on the 'C++' Hera library developed by Kerber, Morozov and Nigmetov (2017) <doi:10.1145/3064175>.
Version: 0.0.1 Depends: R (≥ 3.5) Imports: cli, rlang LinkingTo: BH Suggests: ggplot2, knitr, microbenchmark, quarto, scales, TDA, tdaunif, tinysnapshot, tinytest Published: 2025-05-15 DOI: 10.32614/CRAN.package.phutil Author: Aymeric Stamm [aut, cre], Jason Cory Brunson [aut], Michael Kerber [ctb] (HERA C++ code), Dmitriy Morozov [ctb] (HERA C++ code), Arnur Nigmetov [ctb] (HERA C++ code) Maintainer: Aymeric Stamm <aymeric.stamm at cnrs.fr> BugReports: https://github.com/tdaverse/phutil/issues License: MIT + file LICENSE URL: https://github.com/tdaverse/phutil, https://tdaverse.github.io/phutil/ NeedsCompilation: yes Materials: README NEWS CRAN checks: phutil results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=phutil to link to this page.
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