I’m trying to run a brms model on continuous response data with two multileveled categorical predictors and a random intercept. My response data distribution is as in Figure 1. So The minimum is 0 and maximum 180.
I believe the distribution that describes my data best is a half-normal but I don’t really know how to implement it (it’s not predefined in brms family function). Distributions usually used for response time data (a bit similar to mine) require responses greater than 0.
I’ve tried fitting the model with gaussian family which resulted in a pretty bad fit (pp_check on Figure 2.)
Do you have any idea how I could specify my response distribution more accurately?
- Operating System: MacOS Mojave
- brms Version: 2.5.0