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greed
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]
[Scholar Profile | Author Map]
All associated links for this package
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
Previous versions and publish date:
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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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