Clustering and Model Selection with the Integrated Classification Likelihood

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Documentation for package ‘greed’ version 0.6.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

A B C D E F G H I J K L M N P R S T Y

-- A --

Alg-class	Abstract optimization algorithm class
available_algorithms	Display the list of every currently available optimization algorithm
available_models	Display the list of every currently available DLVM

-- B --

Books

Books about US politics network dataset

-- C --

clustering	Method to extract the clustering results from an 'IclFit-class' object
clustering-method	Method to extract the clustering results from an 'IclFit-class' object
coef-method	Extract parameters from an 'DcLbmFit-class' object
coef-method	Extract parameters from an 'DcSbmFit-class' object
coef-method	Extract mixture parameters from 'DiagGmmFit-class' object
coef-method	Extract mixture parameters from 'GmmFit-class' object
coef-method	Extract parameters from an 'IclFit-class' object
coef-method	Extract parameters from an 'LcaFit-class' object
coef-method	Extract parameters from an 'MoMFit-class' object
coef-method	Extract mixture parameters from 'MoRFit-class' object using MAP estimation
coef-method	Extract parameters from an 'MultSbmFit-class' object
coef-method	Extract parameters from an 'SbmFit-class' object
CombinedModels	Combined Models classes
CombinedModels-class	Combined Models classes
CombinedModelsFit-class	Combined Models fit results class
CombinedModelsPath-class	Combined Models hierarchical fit results class
cut-method	Method to cut a DcLbmPath solution to a desired number of cluster
cut-method	Generic method to cut a path solution to a desired number of cluster

-- D --

DcLbm	Degree Corrected Latent Block Model for bipartite graph class
DcLbm-class	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
DcLbmPrior	Degree Corrected Latent Block Model for bipartite graph class
DcLbmPrior-class	Degree Corrected Latent Block Model for bipartite graph class
DcSbm	Degree Corrected Stochastic Block Model Prior class
DcSbm-class	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
DcSbmPrior	Degree Corrected Stochastic Block Model Prior class
DcSbmPrior-class	Degree Corrected Stochastic Block Model Prior class
DiagGmm	Diagonal Gaussian Mixture Model Prior description class
DiagGmm-class	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
DiagGmmPrior	Diagonal Gaussian Mixture Model Prior description class
DiagGmmPrior-class	Diagonal Gaussian Mixture Model Prior description class
DlvmCoPrior-class	Abstract class to represent a generative model for co-clustering
DlvmPrior-class	Abstract class to represent a generative model for clustering

-- E --

extractSubModel	Extract a part of a 'CombinedModelsPath-class' object
extractSubModel-method	Extract a part of a 'CombinedModelsPath-class' object

-- F --

fashion	Fashion mnist dataset
Fifa	Fifa data
Football	American College football network dataset

-- G --

Genetic	Genetic optimization algorithm
Genetic-class	Genetic optimization algorithm
Gmm	Gaussian Mixture Model Prior description class
Gmm-class	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 parameters
GmmPath-class	Gaussian mixture model hierarchical fit results class
GmmPrior	Gaussian Mixture Model Prior description class
GmmPrior-class	Gaussian Mixture Model Prior description class
greed	Model based hierarchical clustering

-- H --

H	Compute the entropy of a discrete sample
Hybrid	Hybrid optimization algorithm
Hybrid-class	Hybrid optimization algorithm

-- I --

ICL	Generic method to extract the ICL value from an 'IclFit-class' object
ICL-method	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

-- J --

Jazz	Jazz musicians network dataset

-- K --

K	Generic method to get the number of clusters from an 'IclFit-class' object
K-method	Generic method to get the number of clusters from an 'IclFit-class' object

-- L --

Lca	Latent Class Analysis Model Prior class
Lca-class	Latent Class Analysis Model Prior class
LcaFit-class	Latent Class Analysis fit results class
LcaPath-class	Latent Class Analysis hierarchical fit results class
LcaPrior	Latent Class Analysis Model Prior class
LcaPrior-class	Latent Class Analysis Model Prior class

-- M --

MI	Compute the mutual information of two discrete samples
MoM	Mixture of Multinomial Model Prior description class
MoM-class	Mixture of Multinomial Model Prior description class
MoMFit-class	Mixture of Multinomial fit results class
MoMPath-class	Mixture of Multinomial hierarchical fit results class
MoMPrior	Mixture of Multinomial Model Prior description class
MoMPrior-class	Mixture of Multinomial Model Prior description class
MoR	Multivariate mixture of regression Prior model description class
MoR-class	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
MoRPrior	Multivariate mixture of regression Prior model description class
MoRPrior-class	Multivariate mixture of regression Prior model description class
Multistarts	Greedy algorithm with multiple start class
Multistarts-class	Greedy algorithm with multiple start class
MultSbm	Multinomial Stochastic Block Model Prior class
MultSbm-class	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
MultSbmPrior	Multinomial Stochastic Block Model Prior class
MultSbmPrior-class	Multinomial Stochastic Block Model Prior class
mushroom	Mushroom data

-- N --

Ndrangheta	Ndrangheta mafia covert network dataset
NewGuinea	NewGuinea data
NMI	Compute the normalized mutual information of two discrete samples

-- P --

plot-method	Plot a 'DcLbmFit-class'
plot-method	Plot a 'DcLbmPath-class'
plot-method	Plot a 'DcSbmFit-class' object
plot-method	Plot a 'DiagGmmFit-class' object
plot-method	Plot a 'GmmFit-class' object
plot-method	Plot an 'IclPath-class' object
plot-method	Plot a 'LcaFit-class' object
plot-method	Plot a 'MoMFit-class' object
plot-method	Plot a 'MultSbmFit-class' object
plot-method	Plot a 'SbmFit-class' object
prior	Generic method to extract the prior used to fit 'IclFit-class' object
prior-method	Generic method to extract the prior used to fit 'IclFit-class' object

-- R --

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

-- S --

Sbm	Stochastic Block Model Prior class
Sbm-class	Stochastic Block Model Prior class
SbmFit-class	Stochastic Block Model fit results class
SbmPath-class	Stochastic Block Model hierarchical fit results class
SbmPrior	Stochastic Block Model Prior class
SbmPrior-class	Stochastic Block Model Prior class
Seed	Greedy algorithm with seeded initialization
Seed-class	Greedy algorithm with seeded initialization
SevenGraders	SevenGraders data
show-method	Show an IclPath object
spectral	Regularized spectral clustering

-- T --

to_multinomial

Convert a binary adjacency matrix with missing value to a cube

-- Y --

Youngpeoplesurvey

Young People survey data