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We developed a comprehensive tool that helps with visualization and analysis of networks with the same variables across multiple factor levels. The 'netShiny' contains most of the popular network features such as centrality measures, modularity, and other summary statistics (e.g. clustering coefficient). It also contains known tools to look at the (dis)similarities between two networks, such as pairwise distance measures between networks, set operations on the nodes of the networks, distribution of the weights of the edges and a network representing the difference between two correlation matrices. The package 'netShiny' also contains tools to perform bootstrapping and find clusters in networks. See the 'netShiny' manual for more information, documentation and examples.
Version: | 1.0 |
Depends: | shinyBS (≥ 0.61.1), shiny (≥ 1.7.2), shinydashboard (≥ 0.7.2) |
Imports: | colourpicker (≥ 1.1.1), DT (≥ 0.24), future (≥ 1.27.0), future.callr (≥ 0.8.0), ggplot2 (≥ 3.3.6), ggVennDiagram (≥ 1.2.0), igraph (≥ 1.3.4), ipc (≥ 0.1.3), magrittr (≥ 2.0.3), Matrix (≥ 1.4.1), netgwas (≥ 1.14), plotly (≥ 4.10.0), promises (≥ 1.2.0.1), readxl (≥ 1.4.0), shinycssloaders (≥ 1.0.0), shinyjs (≥ 2.1.0), shinyscreenshot (≥ 0.2.0), shinyWidgets (≥ 0.7.2), stats (≥ 4.2.1), utils (≥ 4.2.1), visNetwork (≥ 2.1.0) |
Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0) |
Published: | 2022-08-22 |
DOI: | 10.32614/CRAN.package.netShiny |
Author: | Rocherno de Jongh [aut],
Pariya Behrouzi |
Maintainer: | Pariya Behrouzi <pariya.behrouzi at gmail.com> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | netShiny results |
Reference manual: | netShiny.pdf |
Vignettes: |
netShiny-Manual netShiny-vignette |
Package source: | netShiny_1.0.tar.gz |
Windows binaries: | r-devel: netShiny_1.0.zip, r-release: netShiny_1.0.zip, r-oldrel: netShiny_1.0.zip |
macOS binaries: | r-release (arm64): netShiny_1.0.tgz, r-oldrel (arm64): netShiny_1.0.tgz, r-release (x86_64): netShiny_1.0.tgz, r-oldrel (x86_64): netShiny_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=netShiny 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.
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