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predict
2007 Jul 17
1
fit a nonlinear model using nlm()
I am trying to fit a nonlinear model using nlm().
My application of nlm() is a bit complicated.
Here is the story behind the model being fit:
The observer is trying to detect a signal corrupted by noise.
On each trial, the observer gets stim=signal+rnorm().
In the simulation below I have 500 trials. Each row of stim is a new trial.
On each trial, if the cross-correlation between the stim and
the