Enrich objects of class
lm with any or all of a set
auxiliary functions, the maximum likelihood estimate of the
dispersion parameter, the expected or observed information at the
maximum likelihood estimator, and the first term in the expansion
of the bias of the maximum likelihood estimator.
an object of class lm
a character vector of options for the enrichment of
extra arguments to be passed to the
The auxiliary functions consist of the score functions, the
expected or observed information, the first-order bias of the
maximum likelihood estimator as functions of the model parameters,
simulate function that takes as input the model
parameters (including the dispersion if any). The result from the
simulate auxiliary function has the same structure to that
simulate method for
object of class
lm with extra
get_enrichment_options.lm() returns the
components and their descriptions.
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