Package: twomodeclusteringGA 1.0.0

twomodeclusteringGA: Genetic Algorithm Based Two-Mode Clustering

Implements two-mode clustering (biclustering) using genetic algorithms. The method was first introduced in Hageman et al. (2008) <doi:10.1007/s11306-008-0105-7>. The package provides tools for fitting, visualization, and validation of two-mode cluster structures in data matrices.

Authors:Jos Hageman [aut, cre]

twomodeclusteringGA_1.0.0.tar.gz
twomodeclusteringGA_1.0.0.zip(r-4.7-any)twomodeclusteringGA_1.0.0.zip(r-4.6-any)twomodeclusteringGA_1.0.0.zip(r-4.5-any)
twomodeclusteringGA_1.0.0.tgz(r-4.6-any)twomodeclusteringGA_1.0.0.tgz(r-4.5-any)
twomodeclusteringGA_1.0.0.tar.gz(r-4.7-any)twomodeclusteringGA_1.0.0.tar.gz(r-4.6-any)
twomodeclusteringGA_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
twomodeclusteringGA/json (API)

# Install 'twomodeclusteringGA' in R:
install.packages('twomodeclusteringGA', repos = c('https://joshageman.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/joshageman/twomodeclusteringga/issues

Datasets:
  • twomodeToy - Toy matrix with one multiplicative and one additive bicluster

On CRAN:

Conda:

2.70 score 1 stars 278 downloads 9 exports 24 dependencies

Last updated from:9a89183606. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK100
source / vignettesOK136
linux-releaseOK99
macos-releaseOK80
macos-oldrelOK108
windows-develOK77
windows-releaseOK62
windows-oldrelOK79
wasm-releaseOK80

Exports:gaintegerMutationgaintegerOnePointCrossovergaintegerPopulationgaintegerTwoPointCrossovermonitorFactoryplotTwomodeClusteringtwomodeClusteringGAtwomodeFitnessFactoryvalidateTwomodePartition

Dependencies:clicodetoolscpp11crayonfarverforeachGAggplot2gluegtableisobanditeratorslabelinglifecycleR6RColorBrewerRcppRcppArmadillorlangS7scalesvctrsviridisLitewithr