Compute score at the MLE
Arguments
- mod
an object of class
bbdml
- numerical
Boolean. Defaults to
FALSE
. Indicator of whether to use the numeric Hessian and score (not recommended).- get_score_covariance
Boolean. Defaults to
FALSE
. Should we return a robust estimate of variance of score: \(\hat{B}(\hat{\theta}) = \sum_i G(\hat{\theta}; W_i) G(\hat{\theta}; W_i)^T\). This parameter is not intended for users.