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

[Denis Haine]

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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