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.