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\name{nMclustParams}
\alias{nMclustParams}
\title{Number of Estimated Parameters in Gaussian Mixture Models}
\description{
Gives the number of estimated parameters for parameterizations of the
Gaussian mixture model that are used in MCLUST.
}
\usage{
nMclustParams(modelName, d, G, noise = FALSE, equalPro = FALSE, \dots)
}
\arguments{
\item{modelName}{
A character string indicating the model. The help file for
\code{\link{mclustModelNames}} describes the available models.
}
\item{d}{
The dimension of the data. Not used for models in which neither
the shape nor the orientation varies.
}
\item{G}{
The number of components in the Gaussian mixture model used to compute
\code{loglik}.
}
\item{noise}{
A logical variable indicating whether or not the model includes an
optional Poisson noise component.
}
\item{equalPro}{
A logical variable indicating whether or not the components in the
model are assumed to be present in equal proportion.
}
\item{\dots }{
Catches unused arguments in indirect or list calls via \code{do.call}.
}
}
\value{
The number of variance parameters in the corresponding Gaussian mixture
model.
}
\details{
To get the total number of parameters in model, add \code{G*d} for the
means and \code{G-1} for the mixing proportions if they are unequal.
}
\seealso{
\code{\link{bic}}, \code{\link{nVarParams}}.
}
\examples{
mapply(nMclustParams, mclust.options("emModelNames"), d = 2, G = 3)
}
\keyword{cluster}
|
