Zero-Inflated and Hurdle Models in Matlab (statistical distribution fitting)

Hello,

I have a very zero-inflated dataset and I am trying to find it in an statistical distribution. I tried several distributions in Matlab (distribution Fitter App) and no one works.

Now I want to to use a zero-inflated or hurdle model, however I do not find any reference nor example in matlab. How could I fit my data to a hurdle distribution in matlab?, in google the only reference I found was PSCL package for R software, but I would like to continue my work in Matlab.Is there something similar?

Thank you .

Answer 1

[Jeff Miller]

You might be able to fit the distributions you have in mind using Cupid. For example, the following commands would define and plot zero-inflated Poisson and Binomial distributions (at least as I understand the terminology):

zipois = Mixture(.2,ConstantD(0),Poisson(4))
zipois.PlotDens

zibin = Mixture(.2,ConstantD(0),Binomial(4,.8))
zibin.PlotDens

Distribution parameters and mixture probabilities can be tweaked by hand or estimated directly from data (e.g., maximum likelihood). For example,

fakedata = zibin.Random(2000,1);
figure; histogram(fakedata);
zibin.EstML(fakedata,'rffr')  % rffr means: Adjust the real-valued mixture probability,
                              %  hold fixed the constant value and the binomial N
                              %  adjust the real-valued binomial probability
zibin.PlotDens;

[Muhammad Yasirroni]

It seems that I can't open http://https//github.com/milleratotago/Cupid

[Jeff Miller]

I am not sure what is going on with the link in the answer above. This is the correct link:

https://github.com/milleratotago/Cupid