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TDAkit: Toolkit for Topological Data Analysis

Topological data analysis studies structure and shape of the data using topological features. We provide a variety of algorithms to learn with persistent homology of the data based on functional summaries for clustering, hypothesis testing, visualization, and others. We refer to Wasserman (2018) <doi:10.1146/annurev-statistics-031017-100045> for a statistical perspective on the topic.

Version: 0.1.2
Imports: Rcpp, Rdpack, TDAstats, T4cluster, energy, ggplot2, maotai, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Published: 2021-08-23
DOI: 10.32614/CRAN.package.TDAkit
Author: Kisung You ORCID iD [aut, cre], Byeongsu Yu [aut]
Maintainer: Kisung You <kisungyou at outlook.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: TDAkit results

Documentation:

Reference manual: TDAkit.pdf

Downloads:

Package source: TDAkit_0.1.2.tar.gz
Windows binaries: r-devel: TDAkit_0.1.2.zip, r-release: TDAkit_0.1.2.zip, r-oldrel: TDAkit_0.1.2.zip
macOS binaries: r-release (arm64): TDAkit_0.1.2.tgz, r-oldrel (arm64): TDAkit_0.1.2.tgz, r-release (x86_64): TDAkit_0.1.2.tgz, r-oldrel (x86_64): TDAkit_0.1.2.tgz
Old sources: TDAkit archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TDAkit to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.