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This release includes 2 new features:
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classification_plots: a function which allows making plots similar to Figure 2 in Pruim et al. 2015. ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data. NeuroImage. 112, 267–277. This allows assessing the results of the classification procedure. A .pdf with the results for the current subject is automatically added in the ICA-AROMA directory. Note that you can use this function to also make plots across the classification outcomes of a number of subjects.
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The code for extracting the correlation with the motion parameters has been refactored in light of @dangom's suggestions and @rtrhd's code. This results in a massive speed-up of the feature extraction process.