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hierarchicalSets: Set Data Visualization Using Hierarchies

Pure set data visualization approaches are often limited in scalability due to the combinatorial explosion of distinct set families as the number of sets under investigation increases. hierarchicalSets applies a set centric hierarchical clustering of the sets under investigation and uses this hierarchy as a basis for a range of scalable visual representations. hierarchicalSets is especially well suited for collections of sets that describe comparable comparable entities as it relies on the sets to have a meaningful relational structure.

Version: 1.0.4
Depends: R (≥ 3.2.0)
Imports: ggdendro, ggplot2 (≥ 2.2.0), stats, Rcpp, scales, Matrix, MASS, RColorBrewer, gtable, grDevices, methods, utils, viridis, patchwork
LinkingTo: Rcpp
Published: 2023-04-24
DOI: 10.32614/CRAN.package.hierarchicalSets
Author: Thomas Lin Pedersen
Maintainer: Thomas Lin Pedersen <thomasp85 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: hierarchicalSets results

Documentation:

Reference manual: hierarchicalSets.pdf

Downloads:

Package source: hierarchicalSets_1.0.4.tar.gz
Windows binaries: r-devel: hierarchicalSets_1.0.4.zip, r-release: hierarchicalSets_1.0.4.zip, r-oldrel: hierarchicalSets_1.0.4.zip
macOS binaries: r-release (arm64): hierarchicalSets_1.0.4.tgz, r-oldrel (arm64): hierarchicalSets_1.0.4.tgz, r-release (x86_64): hierarchicalSets_1.0.4.tgz, r-oldrel (x86_64): hierarchicalSets_1.0.4.tgz
Old sources: hierarchicalSets archive

Linking:

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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.