Dear Dr Watson, Many thanks for developping your toolbox,
Is there any project to propose any "courses" or anything related to courses to get started with your toolbox, Best wishes, Gabriel Robert, MD, PhD Rennes, France 2018-02-07 2:14 GMT+01:00 Chris Watson <cwa...@alum.mit.edu>: > Dear Freesurfer 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 > The GitHub repository is at: https://github.com/cwatson/brainGraph > > > *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') > > > *Getting help* > The new User Guide has been completely overhauled, and now has a permanent > link at: my GitHub Pages site (PDF warning) > <https://cwatson.github.io/files/brainGraph_UserGuide.pdf>. Please start > at the "Preface". > > You may also get help by opening an Issue > <https://github.com/cwatson/brainGraph/issues> on the GitHub repository, > or join the Google Group > <https://groups.google.com/forum/?hl=en#%21forum/brainGraph-help>. > > > *New features* > You can find the release notes/changelog in NEWS.md, at: > https://github.com/cwatson/brainGraph/blob/master/NEWS.md > > 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 > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > > The information in this e-mail is intended only for the person to whom it > is > addressed. If you believe this e-mail was sent to you in error and the > e-mail > contains patient information, please contact the Partners Compliance > HelpLine at > http://www.partners.org/complianceline . If the e-mail was sent to you in > error > but does not contain patient information, please contact the sender and > properly > dispose of the e-mail. > >
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