enrich.lm

object

a character vector of options for the enrichment of <code>object</code>

with

extra arguments to be passed to the
<code>compute_*</code> functions

Enrich objects of class <code><a rd-options="" href="/link/lm?package=enrichwith&version=0.3.1" data-mini-rdoc="enrichwith::lm">lm</a></code> 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.

Provides the "enrich" method to enrich list-like R objects with new, relevant components. The current version has methods for enriching objects of class 'family', 'link-glm', 'lm', 'glm' and 'betareg'. The resulting objects preserve their class, so all methods associated with them still apply. The package also provides the 'enriched_glm' function that has the same interface as 'glm' but results in objects of class 'enriched_glm'. In addition to the usual components in a `glm` object, 'enriched_glm' objects carry an object-specific simulate method and functions to compute the scores, the observed and expected information matrix, the first-order bias, as well as model densities, probabilities, and quantiles at arbitrary parameter values. The package can also be used to produce customizable source code templates for the structured implementation of methods to compute new components and enrich arbitrary objects.

Ioannis Kosmidis

enrichwith

Methods to Enrich R Objects with Extra Components

enrich.lm function

Enrich objects of class <code><a rd-options='' href='lm'>lm</a></code> 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.

enrich.lm: Enrich objects of class `lm`

Description

Usage

Arguments

Value

Details