Class "CoClust"

Description

A class for CoClust and its extensions

Objects from the Class

Objects can be created by calls of the form new("CoClust", ...).

Slots

Number.of.Clusters:

Object of class "integer". The number K of identified clusters.

Index.Matrix:

Object of class "matrix". A n.obs by (K+1) matrix where n.obs is the number of observations put in each cluster. The matrix contains the row indexes of the observations of the data matrix m. The last column contains the log-likelihood of the copula fit.

Data.Clusters:

Object of class "matrix". The matrix of the final clustering.

Dependence:

Object of class "list". The list contains:

Model	the copula model used for the clustering.
Param	the estimated dependence parameter between clusters.
Std.Err	the standard error of Param.
P.val	the p-value associated to the null hypothesis H_0: theta=0.

LogLik:

Object of class "numeric". The maximized log-likelihood copula fit.

Est.Method

Object of class "character". The estimation method used for the copula fit.

Opt.Method

Object of class "character". The optimization method used for the copula fit.

LLC

Object of class "numeric". The value of the LogLikelihood Criterion for each k in dimset.

Index.dimset

Object of class "list". A list that, for each k in dimset, contains the index matrix of the initial set of nk observations used for selecting the number of clusters, together with the associated loglikelihood.

Methods

No methods defined with class "CoClust" in the signature.

Author(s)

Francesca Marta Lilja Di Lascio <marta.dilascio@unibz.it>,

Simone Giannerini <simone.giannerini@unibo.it>

References

Di Lascio, F.M.L. and Giannerini, S. (2014) "An Improved Copula-Based Clustering Algorithm", Working Paper.

Di Lascio, F.M.L. and Giannerini, S. (2012) "A Copula-Based Algorithm for Discovering Patterns of Dependent Observations", Journal of Classification, Volume 29, Number 1, 50-75.

Di Lascio, F.M.L. (2008). "Analyzing the dependence structure of microarray data: a copula-based approach". PhD thesis, Dipartimento di Scienze Statistiche, Universita' di Bologna, Italy.

See Also

See Also CoClust and copula.

Examples

showClass("CoClust")

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(CoClust)
Loading required package: copula
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/CoClust/CoClust-class.Rd_%03d_medium.png", width=480, height=480)
> ### Name: CoClust-class
> ### Title: Class "CoClust"
> ### Aliases: CoClust-class
> ### Keywords: classes
> 
> ### ** Examples
> 
> showClass("CoClust")
Class "CoClust" [package "CoClust"]

Slots:
                                                               
Name:  Number.of.Clusters       Index.Matrix      Data.Clusters
Class:            numeric             matrix             matrix
                                                               
Name:          Dependence             LogLik         Est.Method
Class:               list            numeric          character
                                                               
Name:          Opt.Method                LLC       Index.dimset
Class:          character            numeric               list
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>