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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: |
3.1.0 |
| 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, ade4, boot, car, expm, ggplot2, ggrepel, gridExtra, mediation, oro.nifti, scales |
| Published: |
2024-04-04 |
| Author: |
Christopher G. Watson
 [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:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=brainGraph
to link to this page.
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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