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NetworkToolbox  

Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis
View on CRAN: Click here


Download and install NetworkToolbox package within the R console
Install from CRAN:
install.packages("NetworkToolbox")

Install from Github:
library("remotes")
install_github("cran/NetworkToolbox")

Install by package version:
library("remotes")
install_version("NetworkToolbox", "1.4.2")



Attach the package and use:
library("NetworkToolbox")
Maintained by
Alexander Christensen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-02
Latest Update: 2021-05-28
Description:
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 ), Information Filtering Networks (Barfuss, Massara, Di Matteo, & Aste, 2016 ), and Efficiency-Cost Optimization (Fallani, Latora, & Chavez, 2017 ). 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.
How to cite:
Alexander Christensen (2017). NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis. R package version 1.4.2, https://cran.r-project.org/web/packages/NetworkToolbox
Previous versions and publish date:
0.0.1.0 (2017-11-02 10:54), 0.0.1.1 (2017-12-21 00:51), 1.0.0 (2018-03-22 09:27), 1.1.0 (2018-03-21 15:13), 1.1.1 (2018-03-25 17:23), 1.1.2 (2018-04-29 23:46), 1.2.0 (2018-07-25 17:50), 1.2.1 (2018-09-20 00:30), 1.2.2 (2018-11-01 20:40), 1.2.3 (2019-01-31 06:43), 1.3.0 (2019-08-21 21:20), 1.3.1 (2019-09-27 19:50), 1.3.2 (2019-10-28 17:20), 1.3.3 (2020-01-11 01:50), 1.4.0 (2020-03-08 18:00), 1.4.1 (2020-12-07 18:50)
Other packages that cited NetworkToolbox R package
View NetworkToolbox citation profile
Other R packages that NetworkToolbox depends, imports, suggests or enhances
Functions, R codes and Examples using the NetworkToolbox R package
Some associated functions: ECO . ECOplusMaST . LoGo . MFCF . MaST . NetworkToolbox-package . TMFG . adapt.a . behavOpen . betweenness . binarize . closeness . clustcoeff . comcat . comm.close . comm.eigen . comm.str . conn . convert2igraph . convertConnBrainMat . cor2cov . core.items . cpm . dCor . dCor.parallel . degree . depend . depna . desc.all . desc . distance . diversity . edgerep . eigenvector . flow.frac . gain.functions . gateway . hybrid . impact . is.graphical . kld . lattnet . leverage . louvain . neoOpen . net.coverage . network.coverage . network.permutation . neuralnetfilter . openness . participation . pathlengths . plot.cpm . randnet . reg . resp.rep . rmse . rspbc . sim.chordal . sim.swn . smallworldness . stable . strength . threshold . transitivity . un.direct . 
Some associated R codes: ECO.R . ECOplusMaST.R . LoGo.R . MFCF.R . MaST.R . NetworkToolbox.R . TMFG.R . adapt.a.R . behavOpen.R . betweenness.R . binarize.R . closeness.R . clustcoeff.R . comcat.R . comm.close.R . comm.eigen.R . comm.str.R . conn.R . convert2igraph.R . convertConnBrainMat.R . cor2cov.R . core.items.R . cpm.R . dCor.R . dCor.parallel.R . degree.R . depend.R . depna.R . desc.R . desc.all.R . distance.R . diversity.R . edgerep.R . eigenvector.R . flow.frac.R . gain.functions.R . gateway.R . hybrid.R . impact.R . is.graphical.R . kld.R . lattnet.R . leverage.R . louvain.R . methods.R . neoOpen.R . net.coverage.R . network.coverage.R . network.permutation.R . neuralnetfilter.R . openness.R . participation.R . pathlengths.R . plot.cpm.R . randnet.R . reg.R . resp.rep.R . rmse.R . rspbc.R . sim.chordal.R . sim.swn.R . smallworldness.R . stable.R . strength.R . threshold.R . transitivity.R . un.direct.R . utils-NetworkToolbox.R . zzz.R .  Full NetworkToolbox package functions and examples
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