According to the documentation for glmmADMB if you fit
your model with a statment like
fit =glmm.admb(y~Base*trt+Age+Visit, ... data=epil2,family="nbinom")
and that the parameter estimates are in
fit$b while their estimated standard deviations are
in
fit$stdbeta
so presumably p values can be constructed from the
quotient
fit$b/fit$stdbeta
by assuming a t distribution with (somehow) the correct
degrees of freedom.
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