Description Usage Arguments Details Value
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.
1 2 
object 
an object of class lm 
with 
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 firstorder bias of the
maximum likelihood estimator as functions of the model parameters,
and a 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
of the simulate
method for lm
objects.
The object object
of class lm
with extra
components. get_enrichment_options.lm()
returns the
components and their descriptions.
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