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SIMPLICA

1.0.0

Biclustering via Simplivariate Component Analysis

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Overview

About
Maintained by Jos HagemanFirst published 2025-09-031 releasesCRAN page ↗GitHub ↗

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.

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13OK
Slowest check: 59 s · r-oldrel-windows-x86_64
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  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Repository

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19Commits
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19 commits · Last activity 2025-09-29 · 0% stars, 30d

Repository practices

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2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/joshageman/simplica on 2026-07-19.

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Dependencies

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3 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (3)
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Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-09-03
Total releases
1 / 1 yrs
License
GPL-3 OSI
Download size
81 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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