tdaunif
0.2.0Uniform Manifold Samplers for Topological Data Analysis
Overview
Uniform random samples from simple manifolds, sometimes with noise, are commonly used to test topological data analytic (TDA) tools. This package includes samplers powered by two techniques: analytic volume-preserving parameterizations, as employed by Arvo (1995) doi:10.1145/218380.218500, and rejection sampling, as employed by Diaconis, Holmes, and Shahshahani (2013) doi:10.1214/12-IMSCOLL1006.
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- NOTE2026-03-103 OK · 11 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 97%
- Return-value docs
- 0%
- References docs
- 75%
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Checks run against github.com/tdaverse/tdaunif on 2026-07-31.
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Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.2.0Latest
- RR 4.4.0 released · 2024-04-24
- 0.1.12023-09-10 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.02020-10-26
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-10-26
- Total releases
- 3 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.3.0
- Download size
- 295 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet