mdnunez / pyhddmjags Goto Github PK

Dear Dr. Nunez,
Thank you for your shares and practices. Your codes are useful for me to develop my own work.
Here, I have questions about the prior distribution of parameters that you have chosen in a stan model file named ‘stancode/nolapse_test.stan’.
Please, consider the following prior distributions in the file
//Between-participant variability in choice A start point bias
betasd ~ gamma(.3,1)
or
// Hierarchical start point bias towards choice A
betahier ~ normal(.5, .25);

How did you put the mean and std values for ddm parameters?
And what is the best strategy to determine prior distributions?