Revision 65dce028095b06ee5ed19673e3045548876c41d3 authored by Derek Young on 30 December 2007, 00:00:00 UTC, committed by Gabor Csardi on 30 December 2007, 00:00:00 UTC
1 parent 14592d5
lambda.rd
\name{lambda}
\title{Local Estimation for Lambda in Mixtures of Regressions}
\alias{lambda}
\usage{
lambda(z, x, xi, h = NULL, kernel = c("Gaussian", "Beta",
"Triangle", "Cosinus", "Optcosinus"), g = 0)
}
\description{
Return local estimates of the mixing proportions from each component
of a mixture of regressions model using output from an EM algorithm.
}
\arguments{
\item{z}{An nxk matrix of posterior probabilities obtained from the EM
algorithm.}
\item{x}{A vector of values for which the local estimation is calculated.}
\item{xi}{An nx(p-1) matrix of the predictor values.}
\item{h}{The bandwidth controlling the size of the window used for the
local estimation.}
\item{kernel}{The type of kernel to be used for the local estimation.}
\item{g}{A shape parameter required for the symmetric beta kernel. The default
is \code{g} = 0 which yields the uniform kernel. Some common values are \code{g} = 1 for the
Epanechnikov kernel, \code{g} = 2 for the biweight kernel, and \code{g} = 3 for the triweight kernel.}
}
\value{
\code{lambda} returns local estimates of the mixing proportions for the inputted
\code{x} vector.
}
\seealso{
\code{\link{regmixEM.loc}}
}
\note{\code{lambda} is for use within \code{regmixEM.loc}.}
\keyword{internal}
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