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

[Jonathan Judge]

The pscl package offers the (somewhat controversial) Vuong test for this purpose and is a good ZI/hurdle resource in general. 

Jonathan 

> On Feb 25, 2018, at 3:45 PM, C. AMAL D. GLELE <altessedac2 at gmail.com> wrote:
> 
> Hi, Ben
> Many thanks to you for your very helpful reply.
> Best and regards,
> 
> 2018-02-25 19:05 GMT+01:00 Ben Bolker <bbolker at gmail.com>:
> 
>> 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,
>>> 
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