netShiny: Tool for Comparison and Visualization of Multiple Networks (original) (raw)

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 ORCID iD [aut, cre]
Maintainer: Pariya Behrouzi <pariya.behrouzi at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: netShiny results

Documentation:

Downloads:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=netShinyto link to this page.