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\name{dgmm}
\alias{dgmm}
\docType{methods}
\title{The Gaussian Mixture Distribution}
\description{
Density function for the Gaussian mixture distribution.
}
\usage{
dgmm( x, p, normalise_proportions = FALSE, restrict_sigmas = FALSE,
implementation = "C" )
}
\arguments{
\item{x}{data vector}
\item{p}{
parameter vector of 3*\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}, sigma1, sigma2, ..., sigma\emph{n} ),
where A\emph{i} is the proportion of \emph{i}-th component,
mu\emph{i} is the location of \emph{i}-th component,
sigma\emph{i} is the scale of \emph{i}-th component.
}
\item{normalise_proportions}{
if TRUE, make component proportions sum up to 1 by dividing each one of them by their sum (R implementation only).
}
\item{restrict_sigmas}{
if TRUE, skip components with scales less or equal to zero (R implementation only).
}
\item{implementation}{
flag to switch between C (default) and R implementations.
}
}
\value{A vector.}
\author{Andrius Merkys}
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