bootMSE.meteDist: Bootstrap the mean squared error of a 'meteR::meteDist'...
In ajrominger/hawaiiMETE: Testing the maximum entropy theory of ecology across the hawaiian chronosequence

Produce bootstrap sampling distribution of the MSE of a 'meteDist' object

1 2	bootMSE.meteDist(x, B = 999, type = "rank", relative = TRUE, log = FALSE)

`x`	a 'meteDist' object
`B`	number of bootstrap replicates
`type`	should the error be calculated on the rank distribution of cumulative distribution
`relative`	logical, should the error be calculated on a relative scale
`log`	logical, should the error be calculated on a log scale

Currently only SAD and IPD classes are supported

A.J. Rominger <ajrominger@gmail.com>

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x <- rpois(100, 1) + 1 # this won't look very METEish
esf <- meteESF(1:length(x), x)
bootSAD <- bootMSE.meteDist(sad(esf))

ajrominger/hawaiiMETE documentation built on May 21, 2019, 1:42 p.m.

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