Hello Bayesians,
I would like to see if my data fits a drift diffusion model. Attached you will find my data (I have 33 subjects in total, its only an example).
If I run a choiceRT_ddm model using that data, I get the following error:
Stan model 'choiceRT_ddm' does not contain samples.
as well as this error for the initial value in chain 1:
Rejecting initial value:
Chain 1: Error evaluating the log probability at the initial value.
Chain 1: Exception: validate transformed params: tau[1] is 0.0338836, but must be greater than or equal to 0.1 (in 'model384c763e527d_choiceRT_ddm' at line 44)
I am assuming it might be the Reaction time, but I don't see why?
Further: subjects have two choices in each trial (right vs. left key), their decision is based on a random dot task but additionally we have a feature that predicts the correct choice in each trial perfectly (from a later block on).
Anyone an idea what model I could use or might try?
Thank you so much for your help.
Carina