On Thu, May 15, 2014 at 8:04 AM, rodrigo koblitz <[email protected]>wrote:
> Buenos, > I'm reading Zuur book (ecology models with R) and try make it entire in > python. > Have this function in R: > M4 <- gam(So ∼ s(De) + factor(ID), subset = I1) > > the 's' term indicated with So is modelled as a smoothing function of De > > I'm looking for something close to this in python. > These kind of general questions are better asked on the scipy-user mailing list which covers more general topics than numpy-discussion. As far as I know, GAMs are not available in python, at least I never came across any. statsmodels has an ancient GAM in the sandbox that has never been connected to any smoother, since, lowess, spline and kernel regression support was missing. Nobody is working on that right now. If you have only a single nonparametric variable, then statsmodels also has partial linear model based on kernel regression, that is not cleaned up or verified, but Padarn is currently working on this. I think in this case using a penalized linear model with spline basis functions would be more efficient, but there is also nothing clean available, AFAIK. It's not too difficult to write the basic models, but it takes time to figure out the last 10% and to verify the results and write unit tests. If you make your code publicly available, then I would be very interested in a link. I'm trying to collect examples from books that have a python solution. Josef > > Someone can help me? > > abraços, > Koblitz > > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion > >
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