SIMPLICA: Biclustering via Simplivariate Component Analysis

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>.

Version:	1.0.0
Depends:	R (≥ 2.10)
Imports:	GA, ggplot2, ggsci
Published:	2025-09-03
DOI:	10.32614/CRAN.package.SIMPLICA
Author:	Jos Hageman [aut, cre]
Maintainer:	Jos Hageman <jos.hageman at wur.nl>
BugReports:	https://github.com/joshageman/SIMPLICA/issues
License:	GPL-3
URL:	https://github.com/joshageman/SIMPLICA
NeedsCompilation:	no
CRAN checks:	SIMPLICA results

Documentation:

Reference manual:

SIMPLICA.html , SIMPLICA.pdf

Downloads:

Package source:	SIMPLICA_1.0.0.tar.gz
Windows binaries:	r-devel: SIMPLICA_1.0.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): SIMPLICA_1.0.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): SIMPLICA_1.0.0.tgz, r-oldrel (x86_64): SIMPLICA_1.0.0.tgz

Linking:

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