meat {sandwich} | R Documentation |
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 |
... |
arguments passed to the |
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. doi:10.18637/jss.v016.i09
Zeileis A, Köll S, Graham N (2020). “Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R.” Journal of Statistical Software, 95(1), 1–36. doi:10.18637/jss.v095.i01
See Also
Examples
x <- sin(1:10)
y <- rnorm(10)
fm <- lm(y ~ x)
meat(fm)
meatHC(fm, type = "HC")
meatHAC(fm)