ISE.envelope | R Documentation |
Compute integrated squared error of each of the simulated function estimates in an envelope object.
ISE.envelope(object, theo, domain, dimension=2)
object |
Object of class |
theo |
Function in the R language that evaluates the true (theoretically expected) value of the spatial summary function. |
domain |
Numeric vector of length 2 specifying the limits of the domain of integration for the integrated squared error. |
dimension |
Integer (either 1 or 2) specifying whether to calculate the one-dimensional or two-dimensional integral of squared error. |
The first argument should be an object of class "envelope"
and should contain the simulated function estimates (i.e. it should
have been computed using envelope
with savefuns=TRUE
).
The simulated function estimates are extracted from object
,
and their squared error from the true value theo
is computed pointwise. The squared errors are integrated over the
interval specified by domain
, giving one value of integrated
squared error for each simulated function estimate. These values
are returned as a numerical vector.
A numeric vector of length equal to the number of simulated functions.
, \martinH and \tilman.
bias.envelope
,
MISE.envelope
.
E <- envelope(cells, Kest, correction="translate", nsim=20, savefuns=TRUE)
theoK <- function(r) { pi * r^2 }
dom <- c(0, 0.1)
ISE.envelope(E, theoK, dom)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.