gev.prof: Profile Log-likelihoods for Stationary GEV Models
In ismev: An Introduction to Statistical Modeling of Extreme Values

Description Usage Arguments Value See Also Examples

Produce profile log-likelihoods for shape parameters and m year/block return levels for stationary GEV models using the output of the function gev.fit.

1 2	gev.prof(z, m, xlow, xup, conf = 0.95, nint = 100) gev.profxi(z, xlow, xup, conf = 0.95, nint = 100)

`z`	An object returned by `gev.fit`. The object should represent a stationary model.
`m`	The return level (i.e.\ the profile likelihood is for the value that is exceeded with probability 1/`m`).
`xlow, xup`	The least and greatest value at which to evaluate the profile likelihood.
`conf`	The confidence coefficient of the plotted profile confidence interval.
`nint`	The number of points at which the profile likelihood is evaluated.

A plot of the profile likelihood is produced, with a horizontal line representing a profile confidence interval with confidence coefficient conf.

gev.fit, gev.diag

data(portpirie)
ppfit <- gev.fit(portpirie[,2])
## Not run: gev.prof(ppfit, m = 10, 4.1, 5)
## Not run: gev.profxi(ppfit, -0.3, 0.3)

Loading required package: mgcv
Loading required package: nlme
This is mgcv 1.8-20. For overview type 'help("mgcv-package")'.
$conv
[1] 0

$nllh
[1] -4.339058

$mle
[1]  3.87474692  0.19804120 -0.05008773

$se
[1] 0.02793211 0.02024610 0.09825633