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
William Simpson william.a.simpson at gmail.com writes:
I am trying to fit a nonlinear model using nlm().
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
