lnalborczyk.github.io
Modelling time-resolved electrophysiological data with Bayesian generalised additive multilevel models
Providing utility functions for fitting Bayesian generalised additive multilevel models (BGAMMs) to time-resolved data (e.g., M/EEG, pupillometry, mouse-tracking, etc) and identifying clusters.