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neatmaps: Heatmaps for Multiple Network Data

Simplify the exploratory data analysis process for multiple network data sets with the help of hierarchical clustering, consensus clustering and heatmaps. Multiple network data consists of multiple disjoint networks that have common variables (e.g. ego networks). This package contains the necessary tools for exploring such data, from the data pre-processing stage to the creation of dynamic visualizations.

Version: 2.1.0
Depends: R (≥ 3.5.0)
Imports: igraph, heatmaply, ConsensusClusterPlus, ggplot2, grDevices, dplyr
Published: 2019-05-12
DOI: 10.32614/CRAN.package.neatmaps
Author: Philippe Boileau [aut, cre]
Maintainer: Philippe Boileau <philippe_boileau at berkeley.edu>
License: MIT + file LICENSE
URL: https://github.com/PhilBoileau/neatmaps
NeedsCompilation: no
Materials: README
CRAN checks: neatmaps results

Documentation:

Reference manual: neatmaps.pdf

Downloads:

Package source: neatmaps_2.1.0.tar.gz
Windows binaries: r-devel: neatmaps_2.1.0.zip, r-release: neatmaps_2.1.0.zip, r-oldrel: neatmaps_2.1.0.zip
macOS binaries: r-release (arm64): neatmaps_2.1.0.tgz, r-oldrel (arm64): neatmaps_2.1.0.tgz, r-release (x86_64): neatmaps_2.1.0.tgz, r-oldrel (x86_64): neatmaps_2.1.0.tgz
Old sources: neatmaps 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.