Biclustering via Simplivariate Component Analysis
Overview
Identifies constant, additive, multiplicative, and user-defined simplivariate components in numeric data matrices using a genetic algorithm. Supports flexible pattern definitions and provides visualization for general biclustering applications across diverse domains. The method builds on simplivariate models as introduced in Hageman et al. (2008) doi:10.1371/journal.pone.0003259 and is related to biclustering frameworks as reviewed by Madeira and Oliveira (2004) doi:10.1109/TCBB.2004.2.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 20
- Examples that run
- 86%6 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 35%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 5%
Downloads
Repository
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3 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/joshageman/simplica on 2026-10-21.
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Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2025-09-03 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-09-03
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 52 KB / 1 file
- Download size
- 81 KB
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