Hello everybody,

 

I am interested to plot rank abundance plots and then to fit Hubbell's
predicted abundance distribution (as well as the relevant adaptations by
i.e. Ettiene's DLM and others) using the 'untb' package (with the plot.count
command lines). Two options are available:-

1)      setting uncertainty=TRUE and expectations=TRUE (which takes
impossibly long to run on a modest computer with a 1.75 terabyte hard drive
and 45 gig RAM)

2)      or only uncertainty=TRUE which then provides a graph with
bootstrapped (n=10 or more) values - my current preferred routine and seems
to working fine.

 

My question is therefore - how do I proceed from here to fit a single
predicted 'neutral line' and then to calculate the model fit using AIC or
BIC?

 

I thank you all in advance

Cheers

Rob


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