Is it possible to model the response variable (reaction time) as lognormal in bambi?

@aloctavodia

Hi,
I’ve fit my model using the log(y) which is fine.

  1. Since I’m interested in comparing the means for baseline, treatment 1 and treatment 2, is there any way I can back transform my model parameters to obtain posterior distributions on my original scale (in seconds since I’m working with reaction times)? Modelling reaction time as normally distributed, I would obtain the difference: baseline vs. treatment 1 as the slope1 coefficient and baseline vs. treatment 2 as the slope2 coefficient.

Thanks