Anova/deviance table in glmmADMB

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Dear Ben and other list members,

- Is there any way to produce a Anova/deviance table for a model
fitted with glmmADMB ? I used the Anova() function from the car
library for glmer models, but it does not seem to work with
glmmadmb (I'm using glmmADMB 0.7) and I would like only one p-value
for each term and interaction and NOT one p-value for each level of
the interaction.

Hmmm.

  car::Anova() should work now -- I had to add a model.frame() and a
df.residual() method for glmmadmb objects.  (The df.residual number
may be a little dodgy -- I'm not sure I counted the parameters right
- -- but I don't think it's actually used for much by default, cause you
get Wald chi-square tests)

  The newest version of glmmADMB is 0.7.5.1 -- it may take a little
while for r-forge to catch up, and I was having a few dependency
issues.  If you don't see it there in ~ 24 hours, drop me a line.

- I also tried to compare nested models via LRT using 
anova(model1,model2) for glmmADMB models but I didn't get any
p-values, it produced NaN, although it apparently calculate the
differences in likelihood. Where can this come from ?

This ought to have worked: perhaps you had the models in the wrong
order?

- I tried to use the coefplot2 library (downloaded from 
http://www.math.mcmaster.ca/bolker/R/src/contrib) as showed on the 
glmmADMB home page ("getting started with glmmADMB"), but I
couldn't use it and got this error message : unable to find an
inherited method for function "coefplot2", for signature
"glmmadmb". Is it normal ? It worked fine with glmer output.

Can you try getting it from r-forge?

  Again, if the problem persists let me know.

  Ben

Thanks for your help ! Thomas

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