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) for a statistical perspective on the topic.


Reference manual

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0.1.2 by Kisung You, 5 months ago

Browse source code at

Authors: Kisung You [aut, cre] , Byeongsu Yu [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports Rcpp, Rdpack, TDAstats, T4cluster, energy, ggplot2, maotai, stats, utils

Linking to Rcpp, RcppArmadillo

See at CRAN