Mindstorm

This version fixes a bug where high-motion censored volumes could have invalid indices. This could cause an error (if a censored index went beyond the timeseries length) or incorrect censoring (if a negative censored index was included).

This version changes the output of the betaseries scripts to output to a `func` subdirectory.

This version fixes the version number to fix PyPI publishing.

This version adds functionality for running general linear models using Nilearn.

* Utilities for creating GLM design matrices have been added in the new glm module.
* Scripts for estimating betaseries models using the least squares–separate (LSS) approach have been added. There is a script, betaseries-bids, for running LSS models on BIDS-compliant data preprocessed using fMRIPrep, and another script, betaseries, for fitting to generic timeseries data.

This version adds support for adding significance markers to swarm bar plots and utilities for smoothing images and running FreeSurfer.

* Can now use the `sig_ind` input to indicate bars to mark as significant. Stars are placed above the points for each condition.
* Added `smooth_susan` and `run_freesurfer` utility scripts.

This version adds capability for adding significance markers to bar plots.

* Added `statplot.plot_sig`. Given two points, it will draw a bracket with a star above it.