Alg-class               Abstract optimization algorithm class
Books                   Books about US politics network dataset
CombinedModels          Combined Models classes
CombinedModelsFit-class
                        Combined Models fit results class
CombinedModelsPath-class
                        Combined Models hierarchical fit results class
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 class
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 results class
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 class
DlvmCoPrior-class       Abstract class to represent a generative model
                        for co-clustering
DlvmPrior-class         Abstract class to represent a generative model
                        for clustering
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
GmmPath-class           Gaussian mixture model hierarchical fit results
                        class
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' object
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 'IclFit-class' object
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 class
MoRFit-class            Clustering with a multivariate mixture of
                        regression model fit results class
MoRPath-class           Multivariate mixture of regression model
                        hierarchical fit results 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 class
Multistarts-class       Greedy algorithm with multiple start class
NMI                     Compute the normalized mutual information of
                        two discrete samples
Ndrangheta              Ndrangheta mafia covert network dataset
NewGuinea               NewGuinea data
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
Youngpeoplesurvey       Young People survey data
available_algorithms    Display the list of every currently available
                        optimization algorithm
available_models        Display the list of every currently available
                        DLVM
clustering              Method to extract the clustering results from
                        an 'IclFit-class' object
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 MAP estimation
coef,MultSbmFit-method
                        Extract parameters from an 'MultSbmFit-class'
                        object
coef,SbmFit-method      Extract parameters from an 'SbmFit-class'
                        object
cut,DcLbmPath-method    Method to cut a DcLbmPath solution to a desired
                        number of cluster
cut,IclPath-method      Generic method to cut a path solution to a
                        desired number of cluster
extractSubModel         Extract a part of a 'CombinedModelsPath-class'
                        object
fashion                 Fashion mnist dataset
gmmpairs                Make a matrix of plots with a given data and
                        gmm fitted parameters
greed                   Model based hierarchical clustering
mushroom                Mushroom data
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
                        'IclFit-class' object
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 Model
rsbm                    Generate a graph adjacency matrix using a
                        Stochastic Block Model
show,IclFit-method      Show an IclPath object
spectral                Regularized spectral clustering
to_multinomial          Convert a binary adjacency matrix with missing
                        value to a cube
