[R-sig-ME] zero-inflated-count-data?

Ben Bolker bbolker at gmail.com
Sun Feb 25 19:05:35 CET 2018


There is no set proportion.  (For example, a Poisson distribution with
a mean of 0.01 is expected to be about 99% zeros, even without
zero-inflation.) There's a little bit of (bare-bones) discussion of
how to test for zero-inflation here:
https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#zero-inflation

On Sun, Feb 25, 2018 at 7:08 AM, C. AMAL D. GLELE <altessedac2 at gmail.com> wrote:
> Hi, dear all.
> From which proportion of zero a count should be considered as zero-inflated
> (in order to use a zero-inflated model for it's modelling)?
> In advance, thanks for your replies.
> Best,
>
> <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail>
> Garanti
> sans virus. www.avast.com
> <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail>
> <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
>
>         [[alternative HTML version deleted]]
>
> _______________________________________________
> R-sig-mixed-models at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models



More information about the R-sig-mixed-models mailing list