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I'm currently using mixed-effects zero-inflated negative binomial models from the glmmADMB package. I recently received this error that I am unsure how to resolve:
formula2 <- as.formula(both[,i] ~ any.virus)
result.zinb <- glmmadmb(formula2, random=~1|both[,ind_id], data = both, link="log", family="nbinom", zeroInflation=TRUE, verbose=TRUE, debug=TRUE)
Bounds error in I for i = 127
I(127) = 0
u.indexmin() = 1
u.indexmax() = 59
One thing I do notice is that u.indexmax is the number of individuals in ind_id. I've seen this error written into the code here: http://lists.admb-project.org/pipermail/users/2012-August/001934.html, but I'm not sure how to take that information and resolve the error. Is my data simply too dispersed to converge?
The text was updated successfully, but these errors were encountered:
Sorry I didn't see this before. glmmADMB is in a separate github repo, so it would probably be best to post it there: https://github.com/bbolker/glmmadmb/issues . A reproducible example would be nice. I don't know, but I'm guessing that the problem has to do with using matrix indexing in the formula ...
I'm currently using mixed-effects zero-inflated negative binomial models from the glmmADMB package. I recently received this error that I am unsure how to resolve:
One thing I do notice is that u.indexmax is the number of individuals in ind_id. I've seen this error written into the code here: http://lists.admb-project.org/pipermail/users/2012-August/001934.html, but I'm not sure how to take that information and resolve the error. Is my data simply too dispersed to converge?
The text was updated successfully, but these errors were encountered: