brainGraph: Graph Theory Analysis of Brain MRI Data

A set of tools for performing graph theory analysis of brain MRI data. It works with data from a Freesurfer analysis (cortical thickness, volumes, local gyrification index, surface area), diffusion tensor tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains a graphical user interface for graph visualization and data exploration, along with several functions for generating useful figures.

Version: 3.0.0
Depends: R (≥ 3.5.0), igraph (≥ 1.2.4)
Imports: abind, data.table (≥ 1.12.4), doParallel, foreach, grid, lattice, MASS, Matrix, methods, permute, parallel
Suggests: Hmisc, RGtk2, ade4, boot, cairoDevice, car, expm, ggplot2, ggrepel, gridExtra, mediation, oro.nifti, scales
Published: 2020-09-29
Author: Christopher G. Watson ORCID iD [aut, cre]
Maintainer: Christopher G. Watson <cgwatson at bu.edu>
BugReports: https://groups.google.com/forum/?hl=en#!forum/brainGraph-help
License: GPL-3
URL: https://github.com/cwatson/brainGraph
NeedsCompilation: no
Materials: NEWS
CRAN checks: brainGraph results

Documentation:

Reference manual: brainGraph.pdf

Downloads:

Package source: brainGraph_3.0.0.tar.gz
Windows binaries: r-devel: brainGraph_3.0.0.zip, r-release: brainGraph_3.0.0.zip, r-oldrel: brainGraph_3.0.0.zip
macOS binaries: r-release (arm64): brainGraph_3.0.0.tgz, r-release (x86_64): brainGraph_3.0.0.tgz, r-oldrel: brainGraph_3.0.0.tgz
Old sources: brainGraph archive

Reverse dependencies:

Reverse imports: netjack

Linking:

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