The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

SuperExactTest: Exact Test and Visualization of Multi-Set Intersections

Identification of sets of objects with shared features is a common operation in all disciplines. Analysis of intersections among multiple sets is fundamental for in-depth understanding of their complex relationships. This package implements a theoretical framework for efficient computation of statistical distributions of multi-set intersections based upon combinatorial theory, and provides multiple scalable techniques for visualizing the intersection statistics. The statistical algorithm behind this package was published in Wang et al. (2015) <doi:10.1038/srep16923>.

Version: 1.1.0
Depends: grid (≥ 3.1.0), methods, R (≥ 3.1.0)
Suggests: knitr, rmarkdown
Published: 2022-03-23
DOI: 10.32614/CRAN.package.SuperExactTest
Author: Minghui Wang, Yongzhong Zhao and Bin Zhang
Maintainer: Minghui Wang <minghui.wang at mssm.edu>
Contact: Minghui Wang <minghui.wang@mssm.edu>, Bin Zhang <bin.zhang@mssm.edu>
BugReports: https://github.com/mw201608/SuperExactTest/issues
License: GPL-3
URL: https://github.com/mw201608/SuperExactTest/
NeedsCompilation: yes
CRAN checks: SuperExactTest results

Documentation:

Reference manual: SuperExactTest.pdf
Vignettes: SuperExactTest User Guide

Downloads:

Package source: SuperExactTest_1.1.0.tar.gz
Windows binaries: r-devel: SuperExactTest_1.1.0.zip, r-release: SuperExactTest_1.1.0.zip, r-oldrel: SuperExactTest_1.1.0.zip
macOS binaries: r-release (arm64): SuperExactTest_1.1.0.tgz, r-oldrel (arm64): SuperExactTest_1.1.0.tgz, r-release (x86_64): SuperExactTest_1.1.0.tgz, r-oldrel (x86_64): SuperExactTest_1.1.0.tgz
Old sources: SuperExactTest archive

Reverse dependencies:

Reverse imports: MOSClip

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SuperExactTest 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.
Health stats visible at Monitor.