Comments (1)
There's an identifiability problem in the model. For example, if unconstrained the sd can go to zero, which is effectively the same as the mixture parameter going to 0. I added the constraints to prevent this behavior. If the fit value is at the boundaries, then the model is probably not appropriate. Do you have examples or is the question academic?
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Related Issues (20)
- Empty merged picks list HOT 2
- Order of Peak1 vs. Peak2 after --samples HOT 1
- ValueError: could not convert string to float
- bug found? HOT 1
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- idr --samples peak1 peak2 : Number of peaks passing IDR cutoff of 0.05 - 0/50537 (0.0%) HOT 1
- error: Use a.any() or a.all()_ HOT 3
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