Hello,
I am Chun from Taiwan. Recently, I am doing data analysis for a continuous report task (colorwheel task) and try to use MemToolbox.
However, I always got poor fitting results (e.g. very exaggerated sd estimation) and the results fluctuate enormously whenever I redo analysis.
Even if I attempt to analyze the data 'errors' provided in the Demo1 in the tutorial, I can never get a reasonable result.
(I just simply analyzed by errors by MemFit(errors) as in Demo1)
So, I am wondering that is this a normal phenomenon because of using MCMC algorithm for posterior inference
or is there any possible ways for me to get the fitting more stable.
note. I have checked my data format is correct.
Thanks,
Chun