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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | SIMPLICA_1.0.0.tar.gz |
151.2 KiB |
1.0.0 |
rolling linux/noble R-4.5 | SIMPLICA_1.0.0.tar.gz |
151.2 KiB |
1.0.0 |
rolling source/ R- | SIMPLICA_1.0.0.tar.gz |
80.1 KiB |
1.0.0 |
latest linux/jammy R-4.5 | SIMPLICA_1.0.0.tar.gz |
151.2 KiB |
1.0.0 |
latest linux/noble R-4.5 | SIMPLICA_1.0.0.tar.gz |
151.2 KiB |
1.0.0 |
latest source/ R- | SIMPLICA_1.0.0.tar.gz |
80.1 KiB |
1.0.0 |
2026-04-26 source/ R- | SIMPLICA_1.0.0.tar.gz |
80.1 KiB |
1.0.0 |
2026-04-23 source/ R- | SIMPLICA_1.0.0.tar.gz |
80.1 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | SIMPLICA_1.0.0.zip |
154.1 KiB |