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\name{mixedvonmises}
\title{Mixture of von Mises Distributions}
\alias{dmixedvonmises}
\alias{rmixedvonmises}
\alias{pmixedvonmises}
\description{
Density and random generation for the mixed von Mises circular distribution.
}
\usage{
dmixedvonmises(x, mu1, mu2, kappa1, kappa2, prop)
rmixedvonmises(n, mu1, mu2, kappa1, kappa2, prop, control.circular = list())
pmixedvonmises(q, mu1, mu2, kappa1, kappa2, prop, from=NULL, tol = 1e-020)
}
\arguments{
\item{x, q}{a vector. The object is coerced to class \code{\link{circular}}.}
\item{n}{number of observations.}
\item{mu1}{mean direction of one of the two von Mises distributions as a \code{circular} object.}
\item{mu2}{mean direction of the other von Mises distribution as a \code{circular} object.}
\item{kappa1}{concentration parameter of one of the two von Mises distributions.}
\item{kappa2}{concentration parameter of the other von Mises distribution.}
\item{prop}{mixing proportion.}
\item{from}{if \code{NULL} is set equal to \eqn{0} (Notice the
difference from the corresponding vonmises distribution). This is the value from which the pmixedvonmises is evaluated. It should be a \code{circular} object.}
\item{tol}{the precision in evaluating the distribution function or the
quantile.}
\item{control.circular}{the attribute of the resulting object.}
}
\value{
\code{dmixedvonmises} gives the density, \code{pmixedvonmises} gives the
distribution function and \code{rmixedvonmises} generates random deviates.
}
\author{Claudio Agostinelli and Ulric Lund}
\seealso{
\code{\link{dvonmises}} \code{\link{pvonmises}} and \code{\link{rvonmises}}
}
\examples{
x <- rmixedvonmises(n=100, mu1=circular(0), mu2=circular(pi), kappa1=15,
kappa2=15, prop=0.5)
plot(x)
}
\keyword{distribution}
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