Description Usage Arguments Value Author(s) References See Also Examples
View source: R/modelChecking.R
This function compares the extremal coefficients estimated from a fitted max-stable process to the ones estimated semi-parametrically.
1 2 | qqextcoeff(fitted, estim = "ST", marge = "emp", xlab = "Semi-Empirical",
ylab = "Model", ...)
|
fitted |
An object of class |
estim,marge |
The |
xlab,ylab |
The x and y-axis labels. |
... |
Optional arguments to be passed to the |
A QQ-plot.
Mathieu Ribatet
Schlather, M. (2002) Models for Stationary Max-Stable Random Fields. Extremes 5:1, 33–44.
Schlather, M. and Tawn, J. A. (2003) A dependence measure for multivariate and spatial extreme values: Properties and inference. Biometrika 90(1):139–156.
Smith, R. L. (1990) Max-stable processes and spatial extremes. Unpublished manuscript.
1 2 3 4 5 6 7 8 9 10 11 | ##Define the coordinate of each location
n.site <- 30
locations <- matrix(runif(2*n.site, 0, 10), ncol = 2)
colnames(locations) <- c("lon", "lat")
##Simulate a max-stable process - with unit Frechet margins
data <- rmaxstab(50, locations, cov.mod = "gauss", cov11 = 10, cov12 =
5, cov22 = 22)
fitted <- fitmaxstab(data, locations, "gauss")
qqextcoeff(fitted)
|
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