| Alg-class | Abstract optimization algorithm class |
| available_algorithms | Display the list of every currently available optimization... |
| available_models | Display the list of every currently available DLVM |
| Books | Books about US politics network dataset |
| clustering | Method to extract the clustering results from an... |
| coef-DcLbmFit-method | Extract parameters from an 'DcLbmFit-class' object |
| coef-DcSbmFit-method | Extract parameters from an 'DcSbmFit-class' object |
| coef-DiagGmmFit-method | Extract mixture parameters from 'DiagGmmFit-class' object |
| coef-GmmFit-method | Extract mixture parameters from 'GmmFit-class' object |
| coef-IclFit-method | Extract parameters from an 'IclFit-class' object |
| coef-LcaFit-method | Extract parameters from an 'LcaFit-class' object |
| coef-MoMFit-method | Extract parameters from an 'MoMFit-class' object |
| coef-MoRFit-method | Extract mixture parameters from 'MoRFit-class' object using... |
| coef-MultSbmFit-method | Extract parameters from an 'MultSbmFit-class' object |
| coef-SbmFit-method | Extract parameters from an 'SbmFit-class' object |
| CombinedModels | Combined Models classes |
| CombinedModelsFit-class | Combined Models fit results class |
| CombinedModelsPath-class | Combined Models hierarchical fit results class |
| cut-DcLbmPath-method | Method to cut a DcLbmPath solution to a desired number of... |
| cut-IclPath-method | Generic method to cut a path solution to a desired number of... |
| DcLbm | Degree Corrected Latent Block Model for bipartite graph class |
| DcLbmFit-class | Degree corrected Latent Block Model fit results class |
| DcLbmPath-class | Degree corrected Latent Block Model hierarchical fit results... |
| DcSbm | Degree Corrected Stochastic Block Model Prior class |
| DcSbmFit-class | Degree Corrected Stochastic Block Model fit results class |
| DcSbmPath-class | Degree Corrected Stochastic Block Model hierarchical fit... |
| DiagGmm | Diagonal Gaussian Mixture Model Prior description class |
| DiagGmmFit-class | Diagonal Gaussian mixture model fit results class |
| DiagGmmPath-class | Diagonal Gaussian mixture model hierarchical fit results... |
| DlvmCoPrior-class | Abstract class to represent a generative model for... |
| DlvmPrior-class | Abstract class to represent a generative model for clustering |
| extractSubModel | Extract a part of a 'CombinedModelsPath-class' object |
| fashion | Fashion mnist dataset |
| Fifa | Fifa data |
| Football | American College football network dataset |
| Genetic-class | Genetic optimization algorithm |
| Gmm | Gaussian Mixture Model Prior description class |
| GmmFit-class | Gaussian mixture model fit results class |
| gmmpairs | Make a matrix of plots with a given data and gmm fitted... |
| GmmPath-class | Gaussian mixture model hierarchical fit results class |
| greed | Model based hierarchical clustering |
| H | Compute the entropy of a discrete sample |
| Hybrid-class | Hybrid optimization algorithm |
| ICL | Generic method to extract the ICL value from an... |
| IclFit-class | Abstract class to represent a clustering result |
| IclPath-class | Abstract class to represent a hierarchical clustering result |
| Jazz | Jazz musicians network dataset |
| K | Generic method to get the number of clusters from an... |
| Lca | Latent Class Analysis Model Prior class |
| LcaFit-class | Latent Class Analysis fit results class |
| LcaPath-class | Latent Class Analysis hierarchical fit results class |
| MI | Compute the mutual information of two discrete samples |
| MoM | Mixture of Multinomial Model Prior description class |
| MoMFit-class | Mixture of Multinomial fit results class |
| MoMPath-class | Mixture of Multinomial hierarchical fit results class |
| MoR | Multivariate mixture of regression Prior model description... |
| MoRFit-class | Clustering with a multivariate mixture of regression model... |
| MoRPath-class | Multivariate mixture of regression model hierarchical fit... |
| Multistarts-class | Greedy algorithm with multiple start class |
| MultSbm | Multinomial Stochastic Block Model Prior class |
| MultSbmFit-class | Multinomial Stochastic Block Model fit results class |
| MultSbmPath-class | Multinomial Stochastic Block Model hierarchical fit results... |
| mushroom | Mushroom data |
| Ndrangheta | Ndrangheta mafia covert network dataset |
| NewGuinea | NewGuinea data |
| NMI | Compute the normalized mutual information of two discrete... |
| plot-DcLbmFit-missing-method | Plot a 'DcLbmFit-class' |
| plot-DcLbmPath-missing-method | Plot a 'DcLbmPath-class' |
| plot-DcSbmFit-missing-method | Plot a 'DcSbmFit-class' object |
| plot-DiagGmmFit-missing-method | Plot a 'DiagGmmFit-class' object |
| plot-GmmFit-missing-method | Plot a 'GmmFit-class' object |
| plot-IclPath-missing-method | Plot an 'IclPath-class' object |
| plot-LcaFit-missing-method | Plot a 'LcaFit-class' object |
| plot-MoMFit-missing-method | Plot a 'MoMFit-class' object |
| plot-MultSbmFit-missing-method | Plot a 'MultSbmFit-class' object |
| plot-SbmFit-missing-method | Plot a 'SbmFit-class' object |
| prior | Generic method to extract the prior used to fit... |
| rdcsbm | Generates graph adjacency matrix using a degree corrected SBM |
| rlbm | Generate a data matrix using a Latent Block Model |
| rlca | Generate data from lca model |
| rmm | Generate data using a Multinomial Mixture |
| rmreg | Generate data from a mixture of regression model |
| rmultsbm | Generate a graph adjacency matrix using a Stochastic Block... |
| rsbm | Generate a graph adjacency matrix using a Stochastic Block... |
| Sbm | Stochastic Block Model Prior class |
| SbmFit-class | Stochastic Block Model fit results class |
| SbmPath-class | Stochastic Block Model hierarchical fit results class |
| Seed-class | Greedy algorithm with seeded initialization |
| SevenGraders | SevenGraders data |
| show-IclFit-method | Show an IclPath object |
| spectral | Regularized spectral clustering |
| to_multinomial | Convert a binary adjacency matrix with missing value to a... |
| Youngpeoplesurvey | Young People survey data |
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