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Implements network analysis and graph theory measures used in neuroscience, cognitive science, and psychology. Methods include various filtering methods and approaches such as threshold, dependency (Kenett, Tumminello, Madi, Gur-Gershgoren, Mantegna, & Ben-Jacob, 2010 <doi:10.1371/journal.pone.0015032>), Information Filtering Networks (Barfuss, Massara, Di Matteo, & Aste, 2016 <doi:10.1103/PhysRevE.94.062306>), and Efficiency-Cost Optimization (Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>). Brain methods include the recently developed Connectome Predictive Modeling (see references in package). Also implements several network measures including local network characteristics (e.g., centrality), community-level network characteristics (e.g., community centrality), global network characteristics (e.g., clustering coefficient), and various other measures associated with the reliability and reproducibility of network analysis.
Version: | 1.4.2 |
Depends: | R (≥ 3.6.0) |
Imports: | psych, corrplot, fdrtool, R.matlab, igraph, qgraph, ppcor, parallel, foreach, doParallel, MASS, pwr, IsingFit, pbapply |
Suggests: | googledrive |
Published: | 2021-05-28 |
DOI: | 10.32614/CRAN.package.NetworkToolbox |
Author: | Alexander Christensen
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Maintainer: | Alexander Christensen <alexpaulchristensen at gmail.com> |
License: | GPL (≥ 3.0) |
NeedsCompilation: | no |
Citation: | NetworkToolbox citation info |
Materials: | NEWS |
In views: | Psychometrics |
CRAN checks: | NetworkToolbox results |
Reference manual: | NetworkToolbox.pdf |
Package source: | NetworkToolbox_1.4.2.tar.gz |
Windows binaries: | r-devel: NetworkToolbox_1.4.2.zip, r-release: NetworkToolbox_1.4.2.zip, r-oldrel: NetworkToolbox_1.4.2.zip |
macOS binaries: | r-release (arm64): NetworkToolbox_1.4.2.tgz, r-oldrel (arm64): NetworkToolbox_1.4.2.tgz, r-release (x86_64): NetworkToolbox_1.4.2.tgz, r-oldrel (x86_64): NetworkToolbox_1.4.2.tgz |
Old sources: | NetworkToolbox archive |
Reverse imports: | bootnet |
Reverse suggests: | FCPS, GGMncv, SemNeT |
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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.
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