SIMPLICA
1.0.0Biclustering 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.
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Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
- Cyclomatic complexity
- 3.0 median / 31 max
- Documented parameters
- 99%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
18 17 exported
Complexity
7.8 avg / 31 max
Call network
18 nodes / 10 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-10 · 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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet