Toolkit for Topological Data Analysis
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-04-22
Show 2 earlier changesHide 2 earlier changes
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 20
- Examples that run
- 30%6 run in a plain check · 14 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 20% with a bibliography file
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.1.3Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.2
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-03-11
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-03-11
- Total releases
- 3 / 5 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 38 KB
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