rERPy - a toolkit for regression-based ERP analysis¶
rERPy is a Python toolkit for doing ERP/ERF analysis of brainwave data (EEG or MEG), using both traditional averaging-based ERP/ERF estimation, and a fancy new regression-based technique for estimating ERP/ERF waveforms, which we call rERP (or rERF) <http://vorpus.org/rERP/> for short. rERP analysis is a strict generalization of ERP analysis – every published ERP is also a rERP. But with rERP analysis, you can estimate ERP waveforms regardless of whether your design is factorial or continuous or both, whether it is orthogonal or partially confounded, whether your continuous covariates have linear or non-linear effects, and whether your events of interest produce overlapping ERPs or not.
Contents: