This release was lead by ejolly and added a bunch of new things.
**New Functionality**
- Added a new Preference class to specify preferences for nltools. The most notable one is which brain mask to implicitly use. For large datasets, 3 x 3 x 3 will dramatically reduce RAM costs and speed up computations. These masks are packaged in resources folder as well as versions that don't include the ventricles.
- ARMA estimator for regress methods
- robust regression for regress methods
**API Changes**
- Brain_Data.threshold has a new api. Can now accommodate bidirectional thresholding, but must specify an `upper` and `lower` bound thresholds
**Bug Fixes**
- small bug in bootstrap function
- requirements file now synced with setuptools
- rolled back matplotlib to avoid a new plotting bug.
- fixed data type output for Brain_Data.ttest()
- fixed an indexing bug with stats.downsample function