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).
Version: 0.6.1 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.0), 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 Published: 2022-10-03 DOI: 10.32614/CRAN.package.greed Author: Etienne Côme [aut, cre], Nicolas Jouvin [aut] Maintainer: Etienne Côme <etienne.come at univ-eiffel.fr> BugReports: https://github.com/comeetie/greed/issues License: GPL-2 | GPL-3 [expanded from: GPL] URL: https://comeetie.github.io/greed/, https://github.com/comeetie/greed NeedsCompilation: yes Language: en-US Citation: greed citation info Materials: README NEWS In views: NetworkAnalysis CRAN checks: greed results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=greed to link to this page.
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