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
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

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