I think you should have a look at svyglm() from the survey package.
My two cents
Le mercredi 05 février 2014 à 14:41 +1300, Rolf Turner a écrit :
> You should direct your inquiry to R-help, not to me personally. I am
> taking the liberty of cc-ing my reply back to the list.
>
> I really have
You should direct your inquiry to R-help, not to me personally. I am
taking the liberty of cc-ing my reply back to the list.
I really haven't the time at the moment to think the issue through
thoroughly, but off the top of my head: If you are going to use
weighted log likelihoods then any
On 04/02/14 20:12, IamRandom wrote:
I am running a simple example of GLM. If I include weights when
family="poisson" then the weights are calculated iteratively and
$weights and $prior.weights return different values. The $prior.weights
are what I supplied and $weights are the "posterior" wei
On Feb 3, 2014, at 11:12 PM, IamRandom wrote:
> I am running a simple example of GLM. If I include weights when
> family="poisson" then the weights are calculated iteratively and $weights and
> $prior.weights return different values. The $prior.weights are what I
> supplied and $weights are
I am running a simple example of GLM. If I include weights when
family="poisson" then the weights are calculated iteratively and
$weights and $prior.weights return different values. The $prior.weights
are what I supplied and $weights are the "posterior" weights of the
IWLS. If I include weig
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