An implementation of the bread for sandwiches function to use when calculating
the robust variance-covariance matrix for the sandwich estimator when using
the BGW algorithm
Arguments
- x
A fitted model object
- n
The number of (clustered) observations
- ...
Additional arguments passed to methods
Value
A matrix containing the expectation of the negative derivative of
the estimatino function. The default is to return the