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Now my setting is
n_x = 100,
Region = "eastern_bering_sea",
purpose = "index2",
ObsModel = c(2,4),
FieldConfig = c("IID",0,"IID",0)
And then my variables are Lat_, Lon_i, t_i, b_i, a_i. But there are more than 300 parameters after fitting the model. I wonder how to simplify the model so that the fit results only have fewer parameters(maybe 20) but still can estimate the annual abundance values for each category.
The text was updated successfully, but these errors were encountered:
I wonder how to simplify this model.
Now my setting is
n_x = 100,
Region = "eastern_bering_sea",
purpose = "index2",
ObsModel = c(2,4),
FieldConfig = c("IID",0,"IID",0)
And then my variables are Lat_, Lon_i, t_i, b_i, a_i. But there are more than 300 parameters after fitting the model. I wonder how to simplify the model so that the fit results only have fewer parameters(maybe 20) but still can estimate the annual abundance values for each category.
The text was updated successfully, but these errors were encountered: