new("Estimate", ...).
More frequently they are created via the generating function
Estimator.show, print is controlled
by the global option show.details to be set by
distrModoptions.
As method show is used when inspecting an object by typing the object's
name into the console, show comes without extra arguments and hence
detailedness must be controlled by global options.
Method print may be called with a (partially matched) argument
show.details, and then the global option is temporarily set to this
value.
More specifically, when show.detail is matched to "minimal"
you will be shown only the name/type of the estimator, the value of its main
part, and, if present, the corresponding standard errors, as well as,
also if present, the value of the nuisance part.
When show.detail is matched to "medium", you will in
addition see the class of the estimator, its call and its sample-size
and, if present, the fixed part of the parameter and
the asymptotic covariance matrix. Also the information
gathered in the Infos slot is shown.
Finally, when show.detail is matched to "maximal",
and if, in addition, you estimate non-trivial (i.e. not the identity)
transformation of the parameter of the parametric family, you will also be
shown this transformation in form of its function and its derivative matrix
at the estimated parameter value, as well as the estimator (with standard errors,
if present) and (again, if present) the corresponding asymptotic covariance
of the untransformed, total (i.e. main and nuisance part) parameter.Estimatorx <- rnorm(100)
Estimator(x, estimator = mean, name = "mean")Run the code above in your browser using DataLab