[R-sig-ME] confint.merMod, bootstrap and weights

[Ben Bolker]

   The simulation function (sfun()) that's at the core of the parametric 
bootstrap algorithm is ignoring your specified prior weights.  Poisson 
models with weights are somewhat unusual; what are the weights in your 
model supposed to signify?  If you were simulating the data, how would 
you incorporate the weights in the simulation procedure?

   Ben Bolker


On 16-03-13 02:30 PM, Denis Haine wrote:
> Hello,
>
> I ran a model as
>
> glmer(y ~ x, family = poisson, data, weights = w)
>
> and then tried to get confidence intervals with the following:
>
> confint(model, method = "boot", parallel = "multicore", ncpus = 4)
>
> However I'm getting the following warning message that I'm not receiving
> when using method "Wald" instead of "boot":
>
> Warning message:
> In sfun(object, nsim = 1, ftd = rep_len(musim, n * nsim), wts = weights) :
>    ignoring prior weights
>
> What's the meaning of this message?
>
> Thanks for your help,
>
> Denis
>
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>
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