sandwich (version 2.5-1)

meat: 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, …)

Arguments

x

a fitted model object.

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.

…

arguments passed to the estfun function.

Value

A \(k \times k\) matrix corresponding containing the scaled cross products of the empirical estimating functions.

Details

For some theoretical background along with implementation details see Zeileis (2006).

References

Zeileis A (2006), Object-Oriented Computation of Sandwich Estimators. Journal of Statistical Software, 16(9), 1--16. URL http://www.jstatsoft.org/v16/i09/.

See Also

sandwich, bread, estfun

Examples

# NOT RUN {
x <- sin(1:10)
y <- rnorm(10)
fm <- lm(y ~ x)

meat(fm)
meatHC(fm, type = "HC")
meatHAC(fm)
# }

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