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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.
gev.fit
gev.prof(z, m, xlow, xup, conf = 0.95, nint = 100) gev.profxi(z, xlow, xup, conf = 0.95, nint = 100)
A plot of the profile likelihood is produced, with a horizontal line representing a profile confidence interval with confidence coefficient conf.
conf
An object returned by gev.fit. The object should represent a stationary model.
The return level (i.e.\ the profile likelihood is for the value that is exceeded with probability 1/m).
m
The least and greatest value at which to evaluate the profile likelihood.
The confidence coefficient of the plotted profile confidence interval.
The number of points at which the profile likelihood is evaluated.
gev.fit, gev.diag
gev.diag
data(portpirie) ppfit <- gev.fit(portpirie[,2]) if (FALSE) gev.prof(ppfit, m = 10, 4.1, 5) if (FALSE) gev.profxi(ppfit, -0.3, 0.3)
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