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enrichwith  

Methods to Enrich R Objects with Extra Components
View on CRAN: Click here


Download and install enrichwith package within the R console
Install from CRAN:
install.packages("enrichwith")

Install from Github:
library("remotes")
install_github("cran/enrichwith")

Install by package version:
library("remotes")
install_version("enrichwith", "0.4.0")



Attach the package and use:
library("enrichwith")
Maintained by
Ioannis Kosmidis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-08
Latest Update: 2020-01-10
Description:
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.
How to cite:
Ioannis Kosmidis (2016). enrichwith: Methods to Enrich R Objects with Extra Components. R package version 0.4.0, https://cran.r-project.org/web/packages/enrichwith. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.0.1 (2016-08-08 09:47), 0.0.2 (2016-09-03 10:01), 0.0.3 (2017-03-07 16:18), 0.0.4 (2017-05-12 07:58), 0.0.5 (2017-10-08 01:38), 0.1.1 (2018-05-04 23:58), 0.1 (2017-11-06 17:11), 0.2 (2019-01-11 17:40), 0.3.1 (2020-01-10 06:30), 0.3 (2019-10-14 16:10), 0.4.0 (2025-09-08 20:10)
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