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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | TDAkit_0.1.3.tar.gz |
191.6 KiB |
0.1.3 |
rolling linux/noble R-4.5 | TDAkit_0.1.3.tar.gz |
193.1 KiB |
0.1.3 |
rolling source/ R- | TDAkit_0.1.3.tar.gz |
37.9 KiB |
0.1.3 |
latest linux/jammy R-4.5 | TDAkit_0.1.3.tar.gz |
191.6 KiB |
0.1.3 |
latest linux/noble R-4.5 | TDAkit_0.1.3.tar.gz |
193.1 KiB |
0.1.3 |
latest source/ R- | TDAkit_0.1.3.tar.gz |
37.9 KiB |
0.1.3 |
2026-04-26 source/ R- | TDAkit_0.1.3.tar.gz |
37.9 KiB |
0.1.3 |
2026-04-23 source/ R- | TDAkit_0.1.3.tar.gz |
37.9 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | TDAkit_0.1.3.zip |
601.3 KiB |
0.1.2 |
2025-04-20 source/ R- | TDAkit_0.1.2.tar.gz |
37.3 KiB |