Uses likelihood and information theoretical approaches to reveal the degree of fit of the GamBin model to empirical species abundance distributions.
# S3 method for gambin AIC(object, ...)AICc(object, ...)# S3 method for gambin AICc(object, ...)# S3 method for gambin BIC(object, ...)# S3 method for gambin logLik(object, ...)
AICc(object, ...)
# S3 method for gambin AICc(object, ...)
# S3 method for gambin BIC(object, ...)
# S3 method for gambin logLik(object, ...)
An object of type gambin
gambin
Further arguments to pass to the function
logLik returns an R object of type logLik. The other function return the numerical value of the statistic
logLik
Akaike, Hirotugu. "A new look at the statistical model identification." Automatic Control, IEEE Transactions on 19.6 (1974): 716-723.
# NOT RUN { data(moths) fit = fit_abundances(moths) AIC(fit) # }
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