glm
/enriched_glm
Function to compute/extract a function that returns the information
matrix for an object of class glm
/enriched_glm
# S3 method for glm
get_information_function(object, ...)
an object of class glm
orenriched_glm
currently not used
The computed/extracted function has arguments
the regression coefficients at which the information matrix is evaluated. If missing then the maximum likelihood estimates are used
the dispersion parameter at which the information matrix is evaluated. If missing then the maximum likelihood estimate is used
should the function return th 'expected' or 'observed' information? Default is expected
If TRUE
, then the QR decomposition of $$W^{1/2} X$$ is returned, where $$W$$ is a diagonal matrix with the working weights (object$weights
) and $$X$$ is the model matrix.
If TRUE
, then the Cholesky decomposition of the information matrix at the coefficients is returned