tclustic.object: Objects returned by the function 'tclustIC'

In fsdaR: Robust Data Analysis Through Monitoring and Dynamic Visualization

Objects returned by the function tclustIC

Description

An object of class tclustic.object holds information about the result of a call to tclustIC.

Value

The functions print() and summary() are used to obtain and print a summary of the results. An object of class tclustic is a list containing at least the following components:

call	the matched call
kk	a vector containing the values of k (number of components) which have been considered. This vector is identical to the optional argument kk (default is kk=1:5.
cc	a vector containing the values of c (values of the restriction factor) which have been considered. This vector is identical to the optional argument cc (defalt is cc=c(1, 2, 4, 8, 16, 32, 64, 128).
alpha	trimming level
whichIC	Information criteria used
CLACLA	a matrix of size length(kk)-times-length(cc) containinig the value of the penalized classification likelihood. This output is present only if whichIC="CLACLA" or whichIC="ALL".
IDXCLA	a matrix of lists of size length(kk)-times-length(cc) containinig the assignment of each unit using the classification model. This output is present only if whichIC="CLACLA" or whichIC="ALL".
MIXMIX	a matrix of size length(kk)-times-length(cc) containinig the value of the penalized mixtrue likelihood. This output is present only if whichIC="MIXMIX" or whichIC="ALL".
IDXMIX	a matrix of lists of size length(kk)-times-length(cc) containinig the assignment of each unit using the classification model. This output is present only if whichIC="MIXMIX" or whichIC="ALL".
MIXCLA	a matrix of size length(kk)-times-length(cc) containinig the value of the ICL criterion. This output is present only if whichIC="MIXCLA" or whichIC="ALL".

Examples

 ## Not run: 
 data(hbk, package="robustbase")
 (out <- tclustIC(hbk[, 1:3]))
 class(out)
 summary(out)
 
## End(Not run)

fsdaR documentation built on March 31, 2023, 8:18 p.m.