Dear SPM users,
I am pleased to announce the 2nd major release of my R package for graph theory analysis of brain MRI data, "brainGraph".
The main page on CRAN is at:
https://cran.r-project.org/web/packages/brainGraph/index.html
Installation
The
latest version is already on CRAN for Linux distributions, and should
be for Windows and Mac OS X soon (but there may be issues on non-Linux
systems; see Chapter 1 of the User Guide).
To install directly from CRAN:
> install.packages('brainGraph')
In the meantime (and for development versions), you may install from GitHub using the R package "devtools":
> devtools::install_github('cwatson/brainGraph')
Major additions (since v1.0.0) that should be of interest include:
- Vertex- and graph-level mediation analysis (chapter 11 of the Guide)
- Multi-threshold permutation correction (MTPC) for GLM analyses (chapter 9)
- Extension of GLM-based functions (including the network-based statistic [NBS] and MTPC) to allow for multiple contrasts in a single function call, and to allow for both T- and F-contrasts
- Permutation/randomization is now done using the Freedman-Lane algorithm (as in randomise and PALM), although models are limited to simple GLM's
- Introduction of R's S3 classes to simplify plotting and summarizing results
- Calculation of a network's s-core membership
- Calculation of network communicability and vertex communicability betweenness centrality
Please let me know if you have any issues, bug reports, feature requests, etc.
Chris Watson