Description Usage Arguments Value See Also Examples
Optimal model characteristics and classification for modelbased
clustering via mclustBIC
.
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object 
An 
data 
The matrix or vector of observations used to generate ‘object’. 
G 
A vector of integers giving the numbers of mixture components (clusters)
from which the best model according to BIC will be selected
( 
modelNames 
A vector of integers giving the model parameterizations
from which the best model according to BIC will be selected
( 
... 
Not used. For generic/method consistency. 
A list giving the optimal (according to BIC) parameters,
conditional probabilities z
, and loglikelihood,
together with the associated classification and its uncertainty.
The details of the output components are as follows:
modelName 
A character string denoting the model corresponding to the optimal BIC. 
n 
The number of observations in the data. 
d 
The dimension of the data. 
G 
The number of mixture components in the model corresponding to the optimal BIC. 
bic 
The optimal BIC value. 
loglik 
The loglikelihood corresponding to the optimal BIC. 
parameters 
A list with the following components:

z 
A matrix whose [i,k]th entry is the probability that observation i in the data belongs to the kth class. 
classification 

uncertainty 
The uncertainty associated with the classification. 
Attributes: 

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