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: | 0.1.3 |
| Imports: | Rcpp,Rdpack,TDAstats,T4cluster,energy,ggplot2,maotai, stats, utils |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2025-09-21 |
| DOI: | 10.32614/CRAN.package.TDAkit |
| Author: | Kisung You [aut, cre], Byeongsu Yu [aut] |
| Maintainer: | Kisung You <kisung.you at outlook.com> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | TDAkit results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=TDAkitto link to this page.