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 [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=TDAkit to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4