Hello,
I am having convergence problems with the following model:
M2 <- glmmTMB(Abundance ~ Temp_std + WithinNatura + Winter_std
+ (1|site) + (1|species),
family = nbinom2,
control = glmmTMBControl(optCtrl = list(iter.max = 20000,
eval.max = 20000), profile = TRUE, collect = FALSE),
ziformula = ~ Temp_std + WithinNatura + Winter_std,
data = AllSpecies)
I have followed the recommendation in the troubleshooting vignette
(standardize covariates, simplify the model - can't get simpler than the
above-, increase iteractions...) and also in the pdf (
https://cran.r-project.org/web/packages/glmmTMB/glmmTMB.pdf) but it does
not seem to help.
I was wondering if there is a way to specify initial values, perhaps
similar to in lme4?
Thank you very much for your help.
sessionInfo()
R version 3.3.2 (2016-10-31)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
locale:
[1] LC_COLLATE=Finnish_Finland.1252 LC_CTYPE=Finnish_Finland.1252
LC_MONETARY=Finnish_Finland.1252 LC_NUMERIC=C
[5] LC_TIME=Finnish_Finland.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] glmmTMB_0.2.0
loaded via a namespace (and not attached):
[1] Rcpp_0.12.11 lattice_0.20-35 reshape_0.8.6 unmarked_0.12-2
MASS_7.3-47 grid_3.3.2 plyr_1.8.4 nlme_3.1-131
[9] minqa_1.2.4 nloptr_1.0.4 raster_2.5-8 sp_1.2-4
Matrix_1.2-10 splines_3.3.2 lme4_1.1-13 tools_3.3.2
[17] TMB_1.7.10 parallel_3.3.2
Best
Diego