If you analyse time-resolved data (M/EEG, iEEG, pupillometry, force recordings…) and feel limited by cluster-based permutation tests (CBPTs); especially when trying to determine when an effect starts or ends; you may want to try our new R package: lnalborczyk.github.io/neurogam/
#rstats #brms #EEG
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.
