rERPy is a Python toolkit for doing ERP analysis of brainwave data (EEG or MEG), using both traditional averaging-based ERP estimation, and a fancy new regression-based technique for ERP estimation, which we call rERP for short. rERPs can do anything ERPs can do -- in fact, ERPs are special cases of rERPs; every ERP is also a rERP. But, the reverse is not true. rERPs make it straightforward to analyze experimental designs that use a mix of categorical and continuous manipulations, even when these manipulations are partially confounded or produce non-linear effects, and they can separate out overlapping waveforms timelocked to temporally adjacent events. They can even do all these things at the same time.
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