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Predicting in years with no positive data
Hi,
I am trying to model some species with 0s in some years. I included random effects on intercepts (I tried autorregressive and random walk processes) with the aim of predicting for those years with no sightings, but the abundance remains 0.
Here one example modelled with Rho (4444) and with no sigthings in 1999. Is there any way to fix that? Thanks
please try settings$Options["treat_nonencounter_as_zero"] = FALSE
, or the same modifications to the Options
object passed to fit_model(.)
and subsequently to make_data(.)