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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