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\name{UniNormParameter-class}
\docType{class}
\alias{UniNormParameter-class}
\alias{initialize,UniNormParameter-method}
\title{Class "UniNormParameter"}
\description{ The parameter of a univariate normal distribution, used by Norm-class}
\section{Objects from the Class}{
Objects can be created by calls of the form \code{new("NormParameter", sd, mean)}.
Usually an object of this class is not needed on its own, it is
generated automatically when an object of the class Norm is
instantiated.
}
\section{Slots}{
\describe{
\item{\code{sd}}{Object of class \code{"numeric"}:
the sd of a univariate normal distribution}
\item{\code{mean}}{Object of class \code{"numeric"}:
the mean of a univariate normal distribution}
\item{\code{name}}{Object of class \code{"character"}:
a name / comment for the parameters}
}
}
\section{Extends}{
Class \code{"NormParameter"}, directly.
Class \code{"Parameter"}, by class \code{"NormParameter"}.
}
\section{Methods}{
\describe{
\item{initialize}{\code{signature(.Object = "UniNormParameter")}:
initialize method}
\item{mean}{\code{signature(object = "UniNormParameter")}:
returns the slot mean of the parameter of the distribution}
\item{mean<-}{\code{signature(object = "UniNormParameter")}:
modifies the slot mean of the parameter of the distribution}
\item{sd}{\code{signature(object = "UniNormParameter")}:
returns the slot sd of the parameter of the distribution}
\item{sd<-}{\code{signature(object = "UniNormParameter")}:
modifies the slot sd of the parameter of the distribution}
}
}
\author{
Thomas Stabla \email{statho3@web.de},\cr
Florian Camphausen \email{fcampi@gmx.de},\cr
Peter Ruckdeschel \email{peter.ruckdeschel@uni-oldenburg.de},\cr
Matthias Kohl \email{Matthias.Kohl@stamats.de}
}
\seealso{
\code{\link{Norm-class}}
\code{\link{NormParameter-class}}
\code{\link{Parameter-class}}
}
\examples{
W <- new("UniNormParameter", mean = 0, sd = 1)
sd(W) # sd of this distribution is 1
sd(W) <- 2 # sd of this distribution is now 2
}
\keyword{distribution}
\concept{parameter}
\concept{Univariate normal / Gaussian distribution}
\concept{S4 parameter class}
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