Other packages > Find by keyword >

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 05 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)
Other packages that cited enrichwith R package
View enrichwith citation profile
Other R packages that enrichwith depends, imports, suggests or enhances
Complete documentation for enrichwith
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA