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greed

Clustering and Model Selection with the Integrated Classification Likelihood

v0.6.2 · Aug 29, 2025 · GPL

Description

An ensemble of algorithms that enable the clustering of networks and data matrices (such as counts, categorical or continuous) with different type of generative models. Model selection and clustering is performed in combination by optimizing the Integrated Classification Likelihood (which is equivalent to minimizing the description length). Several models are available such as: Stochastic Block Model, degree corrected Stochastic Block Model, Mixtures of Multinomial, Latent Block Model. The optimization is performed thanks to a combination of greedy local search and a genetic algorithm (see <arXiv:2002:11577> for more details).

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CRAN Check Status

2 NOTE
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 NOTE
r-oldrel-macos-x86_64 NOTE
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK
Check details (2 non-OK)
NOTE r-oldrel-macos-arm64

installed package size

installed size is 19.1Mb
  sub-directories of 1Mb or more:
    libs  16.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 19.0Mb
  sub-directories of 1Mb or more:
    libs  16.7Mb

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is 19.1Mb
  sub-directories of 1Mb or more:
    libs  16.7Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is 19.0Mb
  sub-directories of 1Mb or more:
    libs  16.7Mb

Dependency Network

Dependencies Reverse dependencies Rcpp Matrix future listenv ggplot2 RSpectra gtable gridExtra cba cli greed

Version History

new 0.6.2 Mar 10, 2026
updated 0.6.2 ← 0.6.1 diff Aug 28, 2025
updated 0.6.1 ← 0.6.0 diff Oct 3, 2022
updated 0.6.0 ← 0.5.1 diff Mar 17, 2022
updated 0.5.1 ← 0.5.0 diff May 9, 2021
new 0.5.0 Apr 20, 2021