Machine Learning and Inference for Topological Data Analysis
Overview
Topological data analysis is a powerful tool for finding non-linear global structure in whole datasets. The main tool of topological data analysis is persistent homology, which computes a topological shape descriptor of a dataset called a persistence diagram. 'TDApplied' provides useful and efficient methods for analyzing groups of persistence diagrams with machine learning and statistical inference, and these functions can also interface with other data science packages to form flexible and integrated topological data analysis pipelines.
- fixed distance exponentiation and group permuting in permutation test
- added permutation model inference procedure
- added universal null and enclosing radius functions
From NEWS.md in the release
Install
Health
- OK13 OK2026-10-01
- ERROR12 OK, 1 ERROR2026-09-30
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
Show 5 earlier changesHide 5 earlier changes
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-16
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 28 (2 internal)includes a package overview page
- Examples that run
- 91%21 run in a plain check · 2 never run
- Exported functions with examples
- 100%
- Documented parameters
- 93%
- Return-value docs
- 96%
- Help pages citing references
- 46%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 5
- Median days to close, 50 most recently updated closed PRs
- 1
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/shaelebrown/tdapplied on 2026-10-18.
Dependencies
Installing TDApplied adds 9 packages (6 with compiled code, 5.4 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, kernlab 1.0 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 3.0.4Latest2024-10-29 · current release · diff ↗ ·
added 3 exports
enclosing_radius, permutation_model_inference, universal_null - RR 4.4.0 released · 2024-04-24
- 3.0.32024-03-13 · diff ↗
- unarchivedReturned to CRAN2024-01-21
- 3.0.2
- archivedRemoved from CRAN2023-12-18issues were not corrected in multiple re-submissions
- 3.0.0
- RR 4.3.0 released · 2023-04-21
- 2.0.42023-01-25 · diff ↗
- 2.0.32023-01-15 · diff ↗
- 2.0.22023-01-12 · diff ↗
- 2.0.12022-12-23 · diff ↗
- 2.0.02022-11-08 · diff ↗ ·
added 4 exports
PyH, bootstrap_persistence_thresholds, import_ripser, plot_diagram - 0.1.32022-10-02 · diff ↗
Package metadata
- First published
- 2022-08-15
- Total releases
- 13 / 4 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 4.8 MB
Cite
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Run in R for the authors' preferred citation:
citation("TDApplied")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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