Package: NetworkToolbox
Title: Methods and Measures for Brain, Cognitive, and Psychometric
        Network Analysis
Version: 1.3.2
Date: 2019-10-28
Authors@R: c(person("Alexander", "Christensen", email = "alexpaulchristensen@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9798-7037")), person("Guido", "Previde Massara", role = c("ctb"), comment = c(ORCID = "0000-0003-0502-2789"))) 
Maintainer: Alexander Christensen <alexpaulchristensen@gmail.com>
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-Gershogoren, 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. 
Depends: R (>= 3.3.0)
License: GPL (>= 3.0)
Encoding: UTF-8
LazyData: true
Imports: Matrix, psych, corrplot, fdrtool, R.matlab, MASS,
        fitdistrplus, pwr, igraph, qgraph, ppcor, parallel, foreach,
        doParallel, wTO
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-10-28 15:25:53 UTC; apchr
Author: Alexander Christensen [aut, cre]
    (<https://orcid.org/0000-0002-9798-7037>),
  Guido Previde Massara [ctb] (<https://orcid.org/0000-0003-0502-2789>)
Repository: CRAN
Date/Publication: 2019-10-28 16:20:11 UTC
