Methods to Enrich R Objects with Extra Components R package enrichwith version 0.5.0 Provides the "enrich()" method for augmenting list-like R objects with additional, model-specific components. Methods are currently available for objects of class "family", "link-glm", "lm", "glm", and "betareg". Enriched objects retain their original class and remain compatible with existing methods. For example, enriching a "glm" object produces an "enriched_glm" object that also inherits from "glm". In addition to the standard components, the "enriched_glm" object includes methods for simulation and functions to compute scores, observed and expected information matrices, first-order bias, and other model quantities such as densities, probabilities, and quantiles, which can be evaluated at use-supplied parameter values. The package also provides tools for generating customizable source code templates for the structured implementation of methods to compute new components and enrich arbitrary objects. Software Depends: R (>= 3.0.0) Suggests: whisker, SuppDists, brglm, brglm2, ggplot2, MASS, knitr, rmarkdown, testthat, numDeriv Enhances: betareg, gnm, stats Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk> Comprehensive R Archive Network (CRAN) Ioannis Kosmidis [aut, cre] GPL-3 2026-04-29 application/tgz https://CRAN.R-project.org/package=enrichwith doi:10.32614/CRAN.package.enrichwith