Behrens' Bayesian Learner Model : How to share parameters between steps?

[dddd1007]

@ricardoV94

Can you try to reduce the mean of v ? That may be getting very large for the later trials if the sequence is large enough.

I added init="adapt_diag" and the sampler running smoothly. Thanks!

And it looks like can catch the volatile of r

The volatility of v looks better too.

I am not sure I finished the correct model. Because the more smooth curve generated by Waskom’s Code. ( \hat{i} is the inverse of v_cap in my model).