[R] model non-integer count outcomes

[Don McKenzie]

Sorry. Central limit theorem. Enough averaging and you get a normal distribution (simply stated, perhaps too simply). If so others will correct me before long.  :-(

Sent from my iPad

> On Jul 21, 2015, at 8:52 PM, Wensui Liu <liuwensui at gmail.com> wrote:
> 
> what does CLT stand for?
> 
>> On Tue, Jul 21, 2015 at 11:41 PM, Don McKenzie <dmck at u.washington.edu> wrote:
>> Or if there are enough averages of enough counts, the CLT provides another option.
>> 
>>> On Jul 21, 2015, at 8:38 PM, David Winsemius <dwinsemius at comcast.net> wrote:
>>> 
>>> 
>>> On Jul 21, 2015, at 8:21 PM, Wensui Liu wrote:
>>> 
>>>> Dear Lister
>>>> When the count outcomes are integers, we could use either Poisson or
>>>> NB regression to model them. However, there are cases that the count
>>>> outcomes are non-integers, e.g. average counts.
>>>> I am wondering if it still makes sense to use Poisson or NB regression
>>>> to model these non-integer outcomes.
>>> 
>>> There is a quasi-binomial error model that accepts non-integer outcomes.
>>> 
>>> -- 
>>> 
>>> David Winsemius
>>> Alameda, CA, USA
>>> 
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>> 
>> 
>> 
> 
> 
> 
> -- 
> WenSui Liu
> https://statcompute.wordpress.com/