Specifying Priors for Ordinal (adjacent category) Model

[torkar]

See this post where Aki explains is nicely:

Use of `sample_prior='only'` in brms

@paul.buerkner already solved the problem with the intercept, but before that I was thinking about this For poisson(link=log) they can be too wide, and compared to your data they seem to be too wide. If I read your model right, the intended model has four additive terms for log intensity with each having a prior N(0,1), and thus the prior for the log intensity would be N(0,4^2), which corresponds to assuming that there is 5% probability that the intensity is larger than 720. This may or may n…