Description: Provides an R interface to all 'Enrichr' databases. 'Enrichr' is a web-based tool for analysing gene sets and returns any enrichment of common annotated biological features. Quoting from their website 'Enrichment analysis is a computational method for inferring knowledge about an input gene set by comparing it to annotated gene sets representing prior biological knowledge.' See <https://maayanlab.cloud/Enrichr/> for further details.

Title: Enrichment assessment of virtual screening approarches
Description: These programs are used for calculating enrichment
factors, drawing enrichment curves to evaluate virtual

Title: Enrichment assessment of virtual screening approaches

Title: Methods to Enrich R Objects with Extra Components
Description: The enrichwith package 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" and "glm". The resulting objects preserve their class, so all methods associated to them still apply. The package can also be used to produce customisable source code templates for the structured implementation of methods to compute new components.
Suggests: testthat, whisker, MASS, numDeriv

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' and 'glm'. The resulting objects preserve their class, so all methods associated with them still apply. The package can also be used to produce customisable source code templates for the structured implementation of methods to compute new components.
Suggests: testthat, whisker, MASS, brglm, numDeriv, knitr, rmarkdown

Suggests: testthat, whisker, MASS, SuppDists, brglm, numDeriv, ggplot2,

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' and 'glm'. 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.
Suggests: whisker, SuppDists, brglm, ggplot2, knitr, rmarkdown