Classes and Methods for "Class Discovery" with Microarrays or Proteomics
Overview
Defines the classes used for "class discovery" problems in the OOMPA project (http://silicovore.com/OOMPA/index.html). Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.
Install
Health
- OK13 OK2026-08-05
- NOTE11 OK, 2 NOTE2026-07-11
- OK14 OK2026-03-10
Documentation
- Help pages
- 14
- Examples that run
- 100%13 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 99%
- Return-value docs
- 83%
- Help pages citing references
- 43%
Downloads
Dependencies
Installing ClassDiscovery adds 3 packages (1 with compiled code, 4.9 MB of source tarballs). Heaviest: mclust 2.7 MB, oompaData 2.1 MB, oompaBase 126 KB. 1 more not on CRAN is not measured.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- 3.4.11Latest
- 3.4.102026-07-27 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 3.4.92025-09-03 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 3.4.82025-04-07 · diff ↗
- 3.4.52024-04-28 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 3.4.02021-07-16 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 3.3.132020-11-11 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 3.3.122019-05-06 · diff ↗
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2017-07-12
- Total releases
- 11 / 9 yrs
- License
- Apache License (== 2.0)
- Minimum R
- ≥ 4.4
- Download size
- 405 KB
Cite
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Run in R for the authors' preferred citation:
citation("ClassDiscovery")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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