[R-sig-ME] observations in multiple groups

[Jarrod Hadfield]

Hi,

Sorry, the link to Doug's response regarding multi-membership models  
was the wrong multi-membership  thread. This is the correct one:

https://stat.ethz.ch/pipermail/r-sig-mixed-models/2010q2/003860.html

Jarrod



On 9 Jun 2011, at 17:39, Jeroen Ooms wrote:

> No that would over parameritize my models as there are k^2  
> combinations. I
> only want a marginal group effect in there, not all possible  
> interactions.
>
>
>
> On Thu, Jun 9, 2011 at 4:42 AM, Reinhold Kliegl
> <reinhold.kliegl at gmail.com>wrote:
>
>> Could you define your "groups" with class pairs as units?
>> Reinhold Kliegl
>>
>> On Thu, Jun 9, 2011 at 5:39 AM, Jeroen Ooms <jeroen.ooms at stat.ucla.edu 
>> >
>> wrote:
>>> The standard assumption in multilevel modelling seems to be that  
>>> every
>>> observation is in 1 group. However, I have an application in which  
>>> every
>>> observation is in 2 (exchangable) groups. More precisely, I have k  
>>> groups
>>> and k^2 observations, and there is one observations for every  
>>> combination
>> of
>>> groups. The groups are unordered, so I can't do e.g. 1 + (1|  
>>> firstgroup)
>> +
>>> (1|secondgroup). Is there a way to model this with lme4?
>>>
>>> So the schoolbook example would be a hierarchical model with  
>>> children
>> within
>>> classes, however every child is in two classes at the same time.
>>>
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>>>
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>>
>
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>
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