R help - Jun 2012 - MuMIn for GLM Negative Binomial Model

Hello

I am not able to use the MuMIn package (version 1.7.7) for multimodel inference
with a GLM Negative Binomial model (It does  work when I use GLM Poisson). The
GLM Negative Binomial gives the following error statement:

Error in get.models(NBModel, subset = delta < 4) :
  object has no 'calls' attribute

Here is the unsuccessful Negative Binomial code.
>
> BirdNegBin     <-glm(B~Covariate1 + Covariate2 + Covariate3 + Covariate4
+ Covariate5 + Covariate6
>+ Covariate7, data = SquareSumLowland,family = negative.binomial(theta = 1))
>
> NegBinDredge <- dredge(BirdNegBin)
> confset.d4 <- get.models(BirdNegBin, subset = delta < 4)
> model.avg(confset.d4)
> confset.95p <- get.models(BirdNegBin, cumsum(weight) <= .95)
> avgmod.95p <- model.avg(confset.95p)
Any assistance would be appreciated.

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On 2012-06-24 12:40, Rhodes, Christopher J. wrote:
> Hello
>
> I am not able to use the MuMIn package (version 1.7.7) for multimodel
inference with a GLM Negative Binomial model (It does  work when I use GLM
Poisson). The GLM Negative Binomial gives the following error statement:
>
> Error in get.models(NBModel, subset = delta<  4) :
>    object has no 'calls' attribute
>
> Here is the unsuccessful Negative Binomial code.
>>
>> BirdNegBin<-glm(B~Covariate1 + Covariate2 + Covariate3 + Covariate4
+ Covariate5 + Covariate6
>> + Covariate7, data = SquareSumLowland,family = negative.binomial(theta
= 1))
>>
>> NegBinDredge<- dredge(BirdNegBin)
>> confset.d4<- get.models(BirdNegBin, subset = delta<  4)
>> model.avg(confset.d4)
>> confset.95p<- get.models(BirdNegBin, cumsum(weight)<= .95)
>> avgmod.95p<- model.avg(confset.95p)
>
> Any assistance would be appreciated.
>
get.models() expects an object returned by dredge().
You're feeding it an object returned by glm().

Peter Ehlers