Spatial correlation in glmmTMB
Hello, I would like to ask for help on how to account for spatial correlation in glmmTMB package. According to the help page ( https://cran.r-project.org/web/packages/glmmTMB/vignettes/covstruct.html), I need to create a numFactor object grouping coordinates and a dummy grouping factor. mydata$pos <- numFactor(mydata$easting, mydata$northing)## spatial coordinates mydata$group <- factor(rep(1, nrow(mydata)))## dummy factor Regarding to the dummy variable, I have 62 locations in my dataframe. The dummy variable should be 1 for all observations, or go from 1 to 62? (Actually I have tried both possibilities. First one give me convergence problems, second one cracks my R). I have been trying to run the following negative binomial mixed model: m1 = glmmTMB(density ~ wave_exposure + (1|location) exp(pos + 0|group), data= mydata, family= nbinom1, ziformula= ~0) ## I also tried different covariance structures (gau and mat), but no success so far. Any ideas or suggestions here? Thank you in advance! Andre.
Visiting PhD student School of Ocean Sciences Bangor University Menai Bridge, Anglesey, UK [[alternative HTML version deleted]]