Revision b53ae5d144f9671cbdbd3e08cf7170aa866e8bf9 authored by Achim Zeileis on 18 January 2006, 00:00:00 UTC, committed by Gabor Csardi on 18 January 2006, 00:00:00 UTC
1 parent 88aa6a3
meat.Rd
\name{meat}
\alias{meat}
\title{A Simple Meat Matrix Estimator}
\description{
Estimating the variance of the estimating functions of
a regression model by cross products of the empirical
estimating functions.
}
\usage{
meat(x, adjust = FALSE, \dots)
}
\arguments{
\item{x}{a fitted model object.}
\item{adjust}{logical. Should a finite sample adjustment be made?
This amounts to multiplication with $n/(n-k)$ where $n$ is the
number of observations and $k$ the number of estimated parameters.}
\item{\dots}{arguments passed to the \code{\link{estfun}} function.}
}
\details{For some theoretical background along with implementation
details see Zeileis (2006).
}
\value{A \deqn{k \times k}{k x k} matrix corresponding containing
the scaled cross products of the empirical estimating functions.}
\seealso{\code{\link{sandwich}}, \code{\link{bread}}, \code{\link{estfun}}}
\references{
Zeileis A (2006),
Object-oriented Computation of Sandwich Estimators.
Package vignette.
}
\examples{
x <- sin(1:10)
y <- rnorm(10)
fm <- lm(y ~ x)
meat(fm)
meatHC(fm, type = "HC")
meatHAC(fm)
}
\keyword{regression}
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