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\name{smm_fit_em}
\alias{smm_fit_em}
\docType{methods}
\title{Estimate Student's t Mixture parameters using Expectation Maximization.}
\description{
Estimates parameters for Student's t mixture using Expectation Maximization algorithm.
Calls smm_fit_em_APK10().
}
\usage{
smm_fit_em( x, p, ... )
}
\arguments{
\item{x}{data vector}
\item{p}{
initialization vector of 4*\emph{n} parameters, where \emph{n} is
number of mixture components. Structure of p vector is
p = c( A1, A2, ..., A\emph{n}, mu1, mu2, ..., mu\emph{n}, k1, k2, ..., k\emph{n}, ni1, ni2, ..., ni\emph{n} ),
where A\emph{i} is the proportion of \emph{i}-th component,
mu\emph{i} is the center of \emph{i}-th component,
k\emph{i} is the concentration of \emph{i}-th component and
ni\emph{i} is the degrees of freedom of \emph{i}-th component.
}
\item{...}{
additional arguments passed to smm_fit_em_GNL08().
}
}
\value{
Vector of mixture parameters, whose structure is the same as of input
parameter's p.
}
\author{Andrius Merkys}
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