The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

enrichit: 'C++' Implementations of Functional Enrichment Analysis

Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA). The multilevel GSEA algorithm is derived from the 'fgsea' package. Methods are described in Subramanian et al. (2005) <doi:10.1073/pnas.0506580102> and Korotkevich et al. (2021) <doi:10.1101/060012>.

Version: 0.0.8
Depends: R (≥ 3.5.0)
Imports: methods, Rcpp (≥ 1.0.10), stats, yulab.utils (> 0.2.1)
LinkingTo: Rcpp
Suggests: AnnotationDbi, clusterProfiler, DOSE, gson, qvalue, quarto, testthat
Published: 2025-12-22
DOI: 10.32614/CRAN.package.enrichit
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu at gmail.com>
License: Artistic-2.0
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: enrichit results

Documentation:

Reference manual: enrichit.html , enrichit.pdf
Vignettes: enrichit (source, R code)

Downloads:

Package source: enrichit_0.0.8.tar.gz
Windows binaries: r-devel: enrichit_0.0.8.zip, r-release: enrichit_0.0.8.zip, r-oldrel: enrichit_0.0.8.zip
macOS binaries: r-release (arm64): enrichit_0.0.8.tgz, r-oldrel (arm64): enrichit_0.0.8.tgz, r-release (x86_64): enrichit_0.0.8.tgz, r-oldrel (x86_64): enrichit_0.0.8.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=enrichit to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.