tclustICAn object of class tclustic.object holds information about
the result of a call to tclustIC.
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:
the matched call
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.
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).
trimming level
Information criteria used
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".
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".
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".
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".
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".
# NOT RUN {
# }
# NOT RUN {
data(hbk)
(out <- tclustIC(hbk[, 1:3]))
class(out)
summary(out)
# }
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