# meat

From sandwich v2.4-0
by Achim Zeileis

##### A Simple Meat Matrix Estimator

Estimating the variance of the estimating functions of a regression model by cross products of the empirical estimating functions.

- Keywords
- regression

##### 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.

##### Details

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

##### Value

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

##### 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

##### Examples

`library(sandwich)`

```
# NOT RUN {
x <- sin(1:10)
y <- rnorm(10)
fm <- lm(y ~ x)
meat(fm)
meatHC(fm, type = "HC")
meatHAC(fm)
# }
```

*Documentation reproduced from package sandwich, version 2.4-0, License: GPL-2 | GPL-3*

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