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Hi,
When running champ.DMP with champ.DMP(beta = dtTmp, pheno = as.factor(phenos), compare.group = NULL, arraytype = "450K", adjPVal = 0.05, adjust.method = "BH") I see a message that there were some…
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see http://stackoverflow.com/questions/17979563/maximum-likelihood-curve-model-fitting-in-python
`This question was voluntarily removed by its author`
essentially MIA, and miscmodels.nonlinls.py look…
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@newville @mretegan
This is a follow-up of #435. I was wondering if we could make a fitting routine (based on lmfit) that minimizes the convolutions parameters for a FDMNES simulation in order to b…
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Hi all :),
While fitting narrow emission lines in a spectra with specfit, I've come across the problem that the boundaries I'm imposing for one of the parameters, the amplitude of the Halpha emissi…
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give the output in nice matrix arrangement.
currently all is in one row without line breaks (see below):
Covariance:
```
['[[ 1.16085301e-04, \n 5.77137574e+01, \n-2.16962168e+02],\n [ 5.7713…
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@ktoth17 was trying to do a multi-curve fit, where a power law slope was fixed between two different datasets. His example code:
```# Exponential function
def exp_func(x, para):
A, B, C = p…
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Using LMFIT to fit sine waves to Spitzer data, I can usually fit the model to 60k data points in ~15 seconds with `leastsq` as the method, and ~200 seconds with `powell` as the method.
With SPIDER…
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# Issue
For some variable vocabularies, an `apply_func` parameter is defined to derive a new variable from the existing one. The defined apply_func value is then evaluated via `eval()` to generate a …
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Add optional keyword arguments to the parameters to define min and max values that the optimization routines should be aware of.
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Hi Peter,
Thanks again for all your help yesterday! See attached for toy examples of when I managed to break ensr/ when it was a little less robust than glmnet to my dumb inputs :)
Gibhub wo…