brms offers a practical tool to implement most of the solutions proposed to model reaction times (RT), which helps pushing the research forward, as these types of models were until now fairly complicated to implement.
However, the body of literature on RT modelling, including Jonas’ famous RT post and other papers (Matzke, D., & Wagenmakers, E. J., 2009 or Anders, R., Alario, F., & Van Maanen, L., 2016) mentions the Shifted Wald (i.e., shifted Inverse Gaussian) models.
As I couldn’t find this distribution in brmsfamily, I was wondering if it was complicated to add as a custom family - since the non-shifted
inverse.gaussian already exists in base R? And if any guides for that were already existing?