If you don't have too many groups then you could get mgcv:gam to fit this
using the Tweedie family from mgcv. It's a bit fiddly, but there's an example
at the end of ?gam.models with exactly your RE structure.
On Wednesday 26 August 2009 17:30, Mohammad AlMarzouq wrote:
> Hello all,
>
> I have
kbs wrote:
>
> This is the link that gave me the indication:
>
> https://stat.ethz.ch/pipermail/r-help/2007-March/127261.html
>
> Are there alternative ways to deal with a high count of zeros for
> count data with lmer?
>
Fair enough. I think the problem is that lme4 has changed quite
This is the link that gave me the indication:
https://stat.ethz.ch/pipermail/r-help/2007-March/127261.html
Are there alternative ways to deal with a high count of zeros for
count data with lmer?
__
R-help@r-project.org mailing list
https://stat.eth
Mohammad AlMarzouq gmail.com> writes:
>
> Hello all,
>
> I have count data with about 36% of observations being zeros. I found
> in some of the examples of the r-help mail archives that a tweedie
> family of distributions could be used to fit a model with random
> effects. Upon installing
Hello all,
I have count data with about 36% of observations being zeros. I found
in some of the examples of the r-help mail archives that a tweedie
family of distributions could be used to fit a model with random
effects. Upon installing the tweedie package and attempting to fit the
follo
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