I think you can read this recent paper entiled "The analysis of zero-inflated
count data: beyond zero-inflated Poisson regression."
http://www.ncbi.nlm.nih.gov/pubmed/21950803?dopt=Citation

Best regards,

Martí Casals.





2013/4/9 Diego Bilski <diegobilski@gmail.com>

> I'm trying to fit a zero inflated negative binomial model, with
> pscl::zeroinfl, but it returns a warning *glm.fit: algorithm did not
> converge*. The result indicates successful convergence (zinb.fit$converged
> = TRUE).
> In a non-ZI glm, I had to adjust the maxit to obtain convergence; but
> modifying it with the zeroinfl.control didn't changed the warning.
> How can I assure the glm.fit convergence, or I don't need to worry about
> that?
>
> thank you in advance
>
> Diego
>
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>
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>



-- 
Martí Casals Toquero

Centre d' Investigació Biomèdica d'Epidemiología i Salut Pública

Agència de Salut Pública de Barcelona

Servei d' Epidemiologia

Tel. 932384545 extensió: 391

mcasals@aspb.es

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