Comments (2)
link to weecology/sad-comparison:
Elita compared
- Poisson lognormal (poilog)
- Logseries (METE)
- Negative binomial
fitdistrplus::fitdist(sad, "nbinom")
- Zipf/powerlaw - poweRlaw, http://zipfr.r-forge.r-project.org/
using AICc.
For a given distribution, do AICc values for empirical differ from what you'd get drawing from fs or mete?
For a given distribution, do parameters of best fit for empirical differ from what you'd get drawing from fs or mete?
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What kinds of things can you compute likelihood for?
distributions themselves
- fs: nope
- mete: yes
- anything else: maybe?
summary statistics - in principle anything? get a distribution of, say leg coeffs; fit that dist; get probable values. This feels icky.
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Related Issues (19)
- More species-rich datasets HOT 1
- Toy incorrect SADs
- Map the fs space HOT 1
- Comparing coefficients
- identifiability? HOT 1
- pca HOT 1
- Other formulas for skewness HOT 1
- Maximum S and N HOT 1
- Skewness and singletons HOT 2
- Positions of common approximations within FS HOT 2
- Approximate S and N of datasets? HOT 4
- Magnitude of skewness differences HOT 2
- Behaviors at range of S*N HOT 2
- Data foraging HOT 1
- Sampling limit?
- Non-biological data HOT 1
- Evaluate historical predictions relative to FS
- Do skewness and simpsons give convergent results?
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