Thanks for the off list plot. I don't see anything untoward in the
residual plots here - a good way of getting a feel for what residual
plots should look like if the model is ok, is to simulate some data from
your fitted model using rnbinom and the fitted values, refit the model
to the
Dear All,
I am fitting scallop count data to negative binomial GAMs. I have two
significant parameters that explain 43%of the deviance. The adjusted r square
is 0.25. The gam.check function gives me the figure attached. In the graph of
linear predictor vs. residuals there seems to be more
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