profile2d.evd {evd} | R Documentation

## Method for Profiling EVD Objects

### Description

Calculate joint profile traces for fitted models.

### Usage

    ## S3 method for class 'evd':
    profile2d(fitted, prof, which, pts = 20, convergence =
        FALSE, method = "Nelder-Mead", control = list(maxit = 5000), ...)

### Arguments

`fitted` | An object of class `"evd"`.
`prof` | An object of class `"profile.evd"`, created using `profile.evd` with argument `fitted`. The object must contain the (marginal) profile traces for the two parameters specified in `which`.
`which` | A character vector of length two containing the original model parameters that are to be jointly profiled.
`pts` | The number of distinct values used for each profiled parameter in `which`. There are `pts^2` optimizations performed in total.
`convergence` | Logical; print convergence code after each optimization? (A warning is given for each non-zero convergence code, irrespective of the value of `convergence`.)
`method` | The optimization method.
`control` | Passed to `optim`. See `optim` for details.
`...` | Ignored.

### Value

An object of class `"profile2d.evd"`, which is a list with three elements. The first element, a matrix named `trace`, has the same structure as the elements of an object of class `"profile.evd"`. The last two elements give the distinct values used for each profiled parameter in `which`.

### See Also

`profile.evd`, `plot.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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