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
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