Generic method for obtaining the fisher information matrix of an `mle` object.

Fisher information is a way of measuring the amount of information that an observable random variable `X` carries about an unknown parameter `theta` upon which the probability of `X` depends.

Usage

fim(x, ...)

Arguments

x

the object to obtain the fisher information of

...

additional arguments to pass

Details

The inverse of the Fisher information matrix is the variance-covariance of the MLE for `theta`.