mse: Computes mean squared error for rank or cdf
In cmerow/meteR: Fitting and Plotting Tools for the Maximum Entropy Theory of Ecology (METE)

Description Usage Arguments Details Value Author(s) References See Also Examples

mse.meteDist computes mean squared error for rank or cdf between METE prediction and data

mse(x, ...)

## S3 method for class 'meteDist'
mse(x, type = c("rank", "cumulative"), relative = TRUE,
  log = FALSE, ...)

`x`	a `meteDist` object
`...`	arguments to be passed to methods
`type`	'rank' or 'cumulative'
`relative`	logical; if true use relative MSE
`log`	logical; if TRUE calculate MSE on logged distirbution. If FALSE use arithmetic scale.

See Examples.

numeric; the value of the mean squared error.

Andy Rominger <ajrominger@gmail.com>, Cory Merow

Harte, J. 2011. Maximum entropy and ecology: a theory of abundance, distribution, and energetics. Oxford University Press.

mseZ.meteDist

data(arth)
esf1 <- meteESF(spp=arth$spp,
                abund=arth$count,
                power=arth$mass^(.75),
                minE=min(arth$mass^(.75)))
sad1 <- sad(esf1)
mse(sad1, type='rank', relative=FALSE)
ebar1 <- ebar(esf1)
mse(ebar1)