For testing and writing the paper, it would be nice to be able to run a DARC experiment which fits a model (say hyperbolic time discounting), based on responses being generated by some alternative model (e.g. hyperbolic time discounting).
This should be fairly easy to achieve with a few changes to the simulated experiment function, where you pass in a response model (with some true parameters) as well as a model to be fitted.
This would be most useful in testing hyperbolic discounting of odds when the simulated observer actually has a more complex 2-parameter probability weighting function typical of the prospect theory and related models.
Not user-facing.
For testing and writing the paper, it would be nice to be able to run a DARC experiment which fits a model (say hyperbolic time discounting), based on responses being generated by some alternative model (e.g. hyperbolic time discounting).
This should be fairly easy to achieve with a few changes to the simulated experiment function, where you pass in a response model (with some true parameters) as well as a model to be fitted.
This would be most useful in testing hyperbolic discounting of odds when the simulated observer actually has a more complex 2-parameter probability weighting function typical of the prospect theory and related models.