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 class '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

Value

Numeric vector of zeros (asymptotic bias is zero under regularity conditions).