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% file MASS/bcv.d
% copyright (C) 1994-9 W. N. Venables and B. D. Ripley
%
\name{bcv}
\alias{bcv}
\title{
Biased Cross-Validation for Bandwidth Selection
}
\description{
Uses biased cross-validation to select the bandwidth of a Gaussian
kernel density estimator.
}
\usage{
bcv(x, nb = 1000, lower, upper)
}
\arguments{
\item{x}{
a numeric vector
}
\item{nb}{
number of bins to use.
}
\item{lower, upper}{
Range over which to minimize. The default is almost always satisfactory.
}}
\value{
a bandwidth
}
\references{
Scott, D. W. (1992)
\emph{Multivariate Density Estimation: Theory, Practice, and Visualization.}
Wiley.
Venables, W. N. and Ripley, B. D. (2002)
\emph{Modern Applied Statistics with S.} Fourth edition. Springer.
}
\seealso{
\code{\link{ucv}}, \code{\link{width.SJ}}, \code{\link{density}}
}
\examples{
bcv(geyser$duration)
}
\keyword{dplot}
|
