[R-sig-ME] Spatial structure in hurdle glmmTMB
KIRKLAND, MAIRE E.
m@|re@k|rk|@nd @end|ng |rom durh@m@@c@uk
Wed Apr 22 17:51:56 CEST 2020
Hi Mollie,
Thanks so much for your reply. I have filed it as an issue on GitHub.
Best wishes,
Máire
> On 22 Apr 2020, at 15:15, Mollie Brooks <mollieebrooks using gmail.com> wrote:
>
> Hi Máire,
>
> It sounds like you found a bug. Thank you for the easily repeatable example.
>
> Would you like to file an issue on GutHub, or should I?
> https://github.com/glmmTMB/glmmTMB/issues
>
> cheers,
> Mollie
>
>> On 22Apr 2020, at 15:48, KIRKLAND, MAIRE E. <maire.kirkland using durham.ac.uk> wrote:
>>
>> Hi all,
>>
>> I am trying to use the glmmTMB package (version 1.1.0) to run a hurdle model that includes a spatial covariance structure. However, when I try to include spatial information in the zero-inflated part of the model I get an error.
>>
>> Here is a reproducible example with the error message that I receive:
>>
>> library(glmmTMB)
>>
>> d <- data.frame(count = as.vector(Salamanders$count),
>> mined = as.vector(Salamanders$mined),
>> x = as.vector(row(Salamanders)),
>> y = as.vector(col(Salamanders)))
>>
>> d$pos <- numFactor(scale(d$x), scale(d$y))
>> d$ID <- factor(rep(1, nrow(d)))
>>
>> m <- glmmTMB(count ~ mined + mat(pos + 0 | ID),
>> zi = ~.,
>> family = truncated_poisson, data = d
>> )
>>
>> "Error in Reduce(addForm0, list(...)) : object 'mined' not found”
>>
>> Is there a way of including a spatial structure in both parts of the hurdle model?
>>
>> Any help would be much appreciated!
>>
>> Máire
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