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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:
Copied from bbolker/R2admb#18
from @kttempgit
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 inind_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: