Package: SIMPLICA
Title: Biclustering via Simplivariate Component Analysis
Version: 1.0.0
Authors@R: person("Jos", "Hageman", email = "jos.hageman@wur.nl", role = c("aut", "cre"))
Description: 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>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: xz
Imports: GA, ggplot2, ggsci
URL: https://github.com/joshageman/SIMPLICA
BugReports: https://github.com/joshageman/SIMPLICA/issues
NeedsCompilation: no
Packaged: 2025-08-28 21:00:06 UTC; josha
Author: Jos Hageman [aut, cre]
Maintainer: Jos Hageman <jos.hageman@wur.nl>
Repository: CRAN
Date/Publication: 2025-09-03 08:00:18 UTC
Built: R 4.6.0; ; 2026-04-28 21:22:20 UTC; unix
