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
Roxygen: list(markdown = TRUE)
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
Repository: https://joshageman.r-universe.dev
Date/Publication: 2025-08-29 16:34:36 UTC
RemoteUrl: https://github.com/joshageman/simplica
RemoteRef: HEAD
RemoteSha: 87cc15bac38b20f856018fa7535ab7deb4012002
NeedsCompilation: no
Packaged: 2026-10-10 15:49:17 UTC; root
Author: Jos Hageman [aut, cre]
Maintainer: Jos Hageman <jos.hageman@wur.nl>