A character string indicating the model. The help file for
mclustModelNames describes the available models.
data
A numeric vector, matrix, or data frame of observations.
Categorical variables are not allowed.
If a matrix or data frame, rows correspond to observations and
columns correspond to variables.
parameters
A names list giving the parameters of the model.
The components are as follows:
[object Object],[object Object],[object Object],[object Object]
warn
A logical value indicating whether or not a warning should be issued
when computations fail. The default is warn=FALSE.
...
Catches unused arguments in indirect or list calls via do.call.
Value
A list including the following components:
modelNameA character string identifying the model (same as the input argument).
zA matrix whose [i,k]th entry is the conditional probability
of the ith observation belonging to the kth component
of the mixture.
parametersThe input parameters.
loglikThe loglikelihood for the data in the mixture model.
Attribute
"WARNING": An appropriate warning if problems are
encountered in the computations.
References
C. Fraley and A. E. Raftery (2002).
Model-based clustering, discriminant analysis, and density estimation.
Journal of the American Statistical Association 97:611-631.
C. Fraley and A. E. Raftery (2006).
MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering,
Technical Report no. 504, Department of Statistics,
University of Washington.