Computes the bias of an `mle` object assuming the large sample approximation is valid and the MLE regularity conditions are satisfied. In this case, the bias is zero (or zero vector).

This is not a good estimate of the bias in general, but it's arguably better than returning `NULL`.

Usage

# S3 method for mle
bias(x, theta = NULL, ...)

Arguments

x

the `mle` object to compute the bias of.

theta

true parameter value. normally, unknown (NULL), in which case we estimate the bias (say, using bootstrap)

...

additional arguments to pass