Variable Selection in Clustering by Mixture Models for Discrete Data

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Documentation for package ‘ClustMMDD’ version 1.0.4

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ClustMMDD-package 'ClustMMDD' : Clustering by Mixture Models for Discrete Data.
== Methods for Function '=='
==-method 'modelKS' is a class of parameters of (K, S) model.
==-methods Methods for Function '=='
backward.explorer Gather a set of the most competitive models.
bar Functions and Objects created by Rcpp Modules Example
bla Functions and Objects created by Rcpp Modules Example
bla1 Functions and Objects created by Rcpp Modules Example
bla2 Functions and Objects created by Rcpp Modules Example
C++Object-class Functions and Objects created by Rcpp Modules Example
ClustMMDD 'ClustMMDD' : Clustering by Mixture Models for Discrete Data.
cutEachCol Retrieve data from strings in the dataset.
dataR2C Transform a (normal) data frame to be compatible with 'ClustMMDD' main functions
dimJump.R Data driven calibration of the penalty function
em.cluster.R Compute estimates of the parameters by Expectation and Maximization algorithm.
EmOptions Display the current Expectation and Maximization options.
exModelKS An example of 'modelKS'.
foo Functions and Objects created by Rcpp Modules Example
genotype1 'genotype1' is a data frame of genotype data with 'ploidy = 2.'
genotype2 A genotype data frame compatible with 'ClustMMDD' main functions.
genotype2_ExploredModels A data frame of competing models gathered by 'backward.explorer'.
hello Functions and Objects created by Rcpp Modules Example
is.element Check if a 'modelKS' object is in a set of such objects.
is.element-method 'modelKS' is a class of parameters of (K, S) model.
is.element-methods Check if a 'modelKS' object is in a set of such objects.
is.modelKS Is an object from class 'modelKS'?
is.modelKS-method 'modelKS' is a class of parameters of (K, S) model.
is.modelKS-methods Is an object from class 'modelKS'?
isInFile.R Find a model in a file.
model Retrieve a list of model <=ft(K,S\right) from a 'modelKS' object.
model-method 'modelKS' is a class of parameters of (K, S) model.
model-methods Retrieve a list of model <=ft(K,S\right) from a 'modelKS' object.
model.selection.R Selection of both the number K of clusters and the subset S of clustering variables.
modelKS-class 'modelKS' is a class of parameters of (K, S) model.
Num Functions and Objects created by Rcpp Modules Example
Rcpp_Num-class Functions and Objects created by Rcpp Modules Example
Rcpp_vec-class Functions and Objects created by Rcpp Modules Example
Rcpp_World-class Functions and Objects created by Rcpp Modules Example
read.modelKS Read the parameters of a model <=ft(K,S\right) from a file.
read.modelKS-method 'modelKS' is a class of parameters of (K, S) model.
read.modelKS-methods Read the parameters of a model <=ft(K,S\right) from a file.
read.or.compute Read a given model from a file or compute the estimates of paramaters if not found.
selectK.R Selection of the number K of clusters.
setEmOptions Set Expectation and Maximization options.
setModelKS,list-methods Set an instance of class 'modelKS' from a list.
setModelKS-methods,list-methods Set an instance of class 'modelKS' from a list.
show 'show' method for an object of class 'modelKS'
show-method 'modelKS' is a class of parameters of (K, S) model.
show-methods 'show' method for an object of class 'modelKS'
simulData Simulate a dataset from a given set of parameters in an instance of 'modelKS'.
simulData-method 'modelKS' is a class of parameters of (K, S) model.
simulData-methods Simulate a dataset from a given set of parameters in an instance of 'modelKS'.
vec Functions and Objects created by Rcpp Modules Example
World Functions and Objects created by Rcpp Modules Example
[ Get a slot from 'modelKS'.
[-method 'modelKS' is a class of parameters of (K, S) model.
[-methods Get a slot from 'modelKS'.
[<- Get or set a slot from 'modelKS'.
[<--method 'modelKS' is a class of parameters of (K, S) model.
[<--methods Get or set a slot from 'modelKS'.