[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
>> _______________________________________________
>> R-sig-mixed-models using r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
> 



More information about the R-sig-mixed-models mailing list