https://github.com/cran/RandomFields
Tip revision: 683e381531c37e8e7224edd899422f119d926418 authored by Martin Schlather on 21 January 2014, 00:00:00 UTC
version 3.0.10
version 3.0.10
Tip revision: 683e381
RRgauss.Rd
\name{RRgauss}
\alias{RRgauss}
\title{Random scaling used with balls}
\description{
\command{RRgauss} defines
the d-dimensional vector of independent Gaussian random
variables.
}
\usage{
RRgauss(mu, sd, log)
}
\arguments{
\item{mu, sd, log}{see \link[stats]{Normal}. Here the components can be
vectors, leading to multivariate distibution with independent components}
}
\value{
\command{\link{RRgauss}} returns an object of class \code{\link[=RMmodel-class]{RMmodel}}
}
\details{
It has the same effect as
\code{\link{RRdistr}(\link{norm}(mu=mu, sd=sd, log=log))}
}
\author{Martin Schlather, \email{schlather@math.uni-mannheim.de}
}
\seealso{
\command{\link{RMmodel}},
\command{\link{RRdistr}},
\command{\link{RRunif}},
}
\examples{
RFoptions(seed=0)
r <- RFrdistr(RRgauss(mu=c(1,5)), n=1000, dim=2)
plot(r[1,], r[2, ])
\dontshow{RFoptions(seed=NA)}
}
\keyword{spatial}
\keyword{models}