plot.profile2d.evd {evd} | R Documentation

## Plot Joint Profile Devainces

### Description

Displays an image plot of the joint profile deviance from a model profiled with `profile.evd` and `profile2d.evd`.

### Usage

    ## S3 method for class 'profile2d.evd':
    plot(x, main = NULL,
        ci = c(0.5, 0.8, 0.9, 0.95, 0.975, 0.99, 0.995),
        col = heat.colors(8), intpts = 75, xaxs = "r", yaxs = "r", ...)

### Arguments

`x` | An object of class `"profile2d.evd"`.
`main` | Title of plot; a character string.
`ci` | A numeric vector whose length is one less than the length of `col`. The colours of the image plot, excluding the background colour, represent confidence sets with confidence coefficients `ci` (but see Warning).
`col` | A list of colors such as that generated by `rainbow`, `heat.colors`, `topo.colors`, `terrain.colors` or similar functions.
`intpts` | If the package akima is available, interpolation is performed using `intpts` points for each parameter. The function is interpolated at `intpts^2` points in total.
`xaxs,yaxs` | Graphics parameters (see `par`). The default, `"r"`, overrides the default set by `image`.
`...` | Other parameters to be passed to `image`.

### Warning

The sets represented by different colours may not be confidence sets with confidence coefficients `ci`, because the usual asymptotic properties of maximum likelihood estimators may not hold. For the GEV model, the usual asymptotic properties hold when the shape parameter is greater than -0.5 (Smith, 1985). Fortunately, this is usually the case.

### References

Smith, R. L. (1985) Maximum likelihood estimation in a class of non-regular cases. Biometrika, 72, 67–90.

### See Also

`plot.profile.evd`, `profile.evd`, `profile2d.evd`

### Examples

    uvdata <- rgev(100, loc = 0.13, scale = 1.1, shape = 0.2)
    M1 <- fgev(uvdata)
    ## Not run: M1P <- profile(M1)
    ## Not run: M1JP <- profile2d(M1, M1P, which = c("scale", "shape"))
    ## Not run: plot(M1JP)

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