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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 |
| Reference manual: | neatmaps.pdf |
| 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 |
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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.