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)