This update consisted mostly of bugfixes:
* `mtpc`: fixed bug when calculating statistics for different values of "alternative"
* bootstrapping: fixed bug when calculating *weighted* global efficiency; new argument "xfm.type" to handle this; it is the same behavior as for `set_brainGraph_attr`
* `plot.brainGraph`: you now do not need to specify a value for "hemi" if you select "plane='sagittal'"; it will by default select "hemi='L'"
* `plot_rich_norm` had a few bugs, and now has a new argument "smooth". This only works with single-subject networks, and plots a smoother instead of a line for every subject's rich-club curve.
A new feature is that `set_brainGraph_attr` now calculates, at the graph-level, *weighted characteristic path length*; this is simply the mean of the vertex-level values.
Finally, if your *Study.ID* variable is integer/numeric, the functions in the package will convert to character to avoid any errors.
As usual, please let me know if there are issues. I will update the User Guide today or tomorrow (although there is not much to update).
Chris