Package: greed Type: Package Title: Clustering and Model Selection with the Integrated Classification Likelihood Version: 0.6.2 Date: 2025-08-28 Authors@R: c(person(given = "Etienne", family = "Côme", role = c("aut", "cre"), email = "etienne.come@univ-eiffel.fr"), person(given = "Nicolas", family = "Jouvin", role = c("aut"))) URL: https://comeetie.github.io/greed/, https://github.com/comeetie/greed BugReports: https://github.com/comeetie/greed/issues Maintainer: Etienne Côme 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 for more details). License: GPL Depends: R (>= 3.5.0) Imports: Rcpp, Matrix, future, listenv, ggplot2, graphics, methods, stats, RSpectra, grid, gtable, gridExtra, cba, cli LinkingTo: Rcpp, RcppArmadillo Suggests: testthat, MASS, knitr, rmarkdown, spelling, igraph, tidygraph, ggraph Encoding: UTF-8 VignetteBuilder: knitr RoxygenNote: 7.3.2 Collate: 'RcppExports.R' 'tools_misc.R' 'models_classes.R' 'fit_classes.R' 'tools_cleanpath.R' 'alg_genetic.R' 'alg_hybrid.R' 'alg_classes.R' 'alg_multistart.R' 'data.R' 'greed.R' 'model_combinedmodels.R' 'model_dclbm.R' 'model_dcsbm.R' 'model_diaggmm.R' 'model_gmm.R' 'model_lca.R' 'model_mom.R' 'model_mor.R' 'model_multsbm.R' 'model_sbm.R' 'tools_generator.R' 'tools_ploting.R' Language: en-US LazyData: true Repository: https://comeetie.r-universe.dev Date/Publication: 2025-08-29 09:31:04 UTC RemoteUrl: https://github.com/comeetie/greed RemoteRef: HEAD RemoteSha: c598ce2490d1e7014b16ade8e12666cfdc21ffd6 NeedsCompilation: yes Packaged: 2026-07-02 09:34:49 UTC; root Author: Etienne Côme [aut, cre], Nicolas Jouvin [aut]