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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 |
| Reference manual: | SIMPLICA.html , SIMPLICA.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.