This is interesting stuff. Thanks for giving me another thing I have to find time to learn

I have oodles of data this could be applied to and it may be useful for my dissertation too so this could actually be quite useful.
The details elude me, but this definitely seems to fall under the "Computational modeling" umbrella, so there are plenty of books on the topic. I've had
this on my shelf for awhile and am trying to find time to go through it but have not done so yet. What looks like the original paper (Ratcliff & Rouder 1998) gives a bit more detail without going into that highly technical ASU overview that I didn't understand a lick of either. It also looks like there is software to automate extraction of the parameters
here. My experiences with these things is that it works much like other stats, with a lot of people trusting in the algorithms and not really understanding the nuances. As much as I dislike it and am fighting it,
I'm growing to realize that approach is kind of necessary to be successful in this field.