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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 |
| 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.
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.
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