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greed  

Clustering and Model Selection with the Integrated Classification Likelihood
View on CRAN: Click here


Download and install greed package within the R console
Install from CRAN:
install.packages("greed")

Install from Github:
library("remotes")
install_github("cran/greed")

Install by package version:
library("remotes")
install_version("greed", "0.6.1")



Attach the package and use:
library("greed")
Maintained by
Etienne Côme
[Scholar Profile | Author Map]
First Published: 2021-04-21
Latest Update: 2022-10-03
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).
How to cite:
Etienne Côme (2021). greed: Clustering and Model Selection with the Integrated Classification Likelihood. R package version 0.6.1, https://cran.r-project.org/web/packages/greed. Accessed 02 May. 2025.
Previous versions and publish date:
0.5.0 (2021-04-21 09:40), 0.5.1 (2021-05-10 08:50), 0.6.0 (2022-03-18 13:50)
Other packages that cited greed R package
View greed citation profile
Other R packages that greed depends, imports, suggests or enhances
Complete documentation for greed
Functions, R codes and Examples using the greed R package
Some associated functions: Alg-class . Books . CombinedModels . CombinedModelsFit-class . CombinedModelsPath-class . DcLbm . DcLbmFit-class . DcLbmPath-class . DcSbm . DcSbmFit-class . DcSbmPath-class . DiagGmm . DiagGmmFit-class . DiagGmmPath-class . DlvmCoPrior-class . DlvmPrior-class . Fifa . Football . Genetic-class . Gmm . GmmFit-class . GmmPath-class . H . Hybrid-class . ICL . IclFit-class . IclPath-class . Jazz . K . Lca . LcaFit-class . LcaPath-class . MI . MoM . MoMFit-class . MoMPath-class . MoR . MoRFit-class . MoRPath-class . MultSbm . MultSbmFit-class . MultSbmPath-class . Multistarts-class . NMI . Ndrangheta . NewGuinea . Sbm . SbmFit-class . SbmPath-class . Seed-class . SevenGraders . Youngpeoplesurvey . available_algorithms . available_models . clustering . coef-DcLbmFit-method . coef-DcSbmFit-method . coef-DiagGmmFit-method . coef-GmmFit-method . coef-IclFit-method . coef-LcaFit-method . coef-MoMFit-method . coef-MoRFit-method . coef-MultSbmFit-method . coef-SbmFit-method . cut-DcLbmPath-method . cut-IclPath-method . extractSubModel . fashion . gmmpairs . greed . mushroom . plot-DcLbmFit-missing-method . plot-DcLbmPath-missing-method . plot-DcSbmFit-missing-method . plot-DiagGmmFit-missing-method . plot-GmmFit-missing-method . plot-IclPath-missing-method . plot-LcaFit-missing-method . plot-MoMFit-missing-method . plot-MultSbmFit-missing-method . plot-SbmFit-missing-method . prior . rdcsbm . rlbm . rlca . rmm . rmreg . rmultsbm . rsbm . show-IclFit-method . spectral . to_multinomial . 
Some associated R codes: RcppExports.R . alg_classes.R . alg_genetic.R . alg_hybrid.R . alg_multistart.R . data.R . fit_classes.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 . models_classes.R . tools_cleanpath.R . tools_generator.R . tools_misc.R . tools_ploting.R .  Full greed package functions and examples
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