RPointCloud
0.9.1Visualizing Topological Loops and Voids
Overview
Visualizations to explain the results of a topological data analysis. The goal of topological data analysis is to identify persistent topological structures, such as loops (topological circles) and voids (topological spheres), in data sets. The output of an analysis using the 'TDA' package is a Rips diagram (named after the mathematician Eliyahu Rips). The goal of 'RPointCloud' is to fill in these holes in the data by providing tools to visualize the features that help explain the structures found in the Rips diagram. See McGee and colleagues (2024) doi:10.1101/2024.05.16.593927.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 36%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
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
- 0.9.1Latest
- RR 4.5.0 released · 2025-04-11
- 0.8.02024-08-19 · diff ↗
- 0.6.22024-06-25
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-06-25
- Total releases
- 3 / 2 yrs
- License
- Artistic-2.0 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 798 KB / 4 files
- Download size
- 2.3 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("RPointCloud")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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