R: QQ-plot for the extremal coefficient

qqextcoeff {SpatialExtremes} | R Documentation

## QQ-plot for the extremal coefficient

### Description

This function compares the extremal coefficients estimated from a fitted max-stable process to the ones estimated semi-parametrically.

### Usage

    qqextcoeff(fitted, estim = "ST", marge = "emp", xlab = "Semi-Empirical",
    ylab = "Model", ...)

### Arguments

`fitted` | An object of class `maxstab`. Most often, this will be the output of `fitmaxstab`, `fitcovmat` or `fitcovariance`.
`estim,marge` | The `estim` and `marge` options to be passed to the `fitextcoeff` function.
`xlab,ylab` | The x and y-axis labels.
`...` | Optional arguments to be passed to the `plot` function.

### Value

A QQ-plot.

### Author(s)

Mathieu Ribatet

### References

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 Unpublished manuscript.

### See Also

`fitmaxstab`, `fitextcoeff`

### Examples

    ##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)

[Package SpatialExtremes version 2.0-5 Index]