This take the output from a spatial GEV run and returns some handy tables given posterior probabilities, effective sample sizes, acceptance probabilities, etc.
gev.process.results(R, burn = 100)
The output from the spatial.gev.bma function
An optional burn-in amount to be discarded before forming results.
Returns a number of tables.
Alex <[email protected]>
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