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ismev (version 1.42)

gum.diag: Diagnostic Plots for Gumbel Models

Description

Produces diagnostic plots for Gumbel models using the output of the function gum.fit.

Usage

gum.diag(z)

Arguments

z

An object returned by gum.fit.

Value

For stationary models four plots are produced; a probability plot, a quantile plot, a return level plot and a histogram of data with fitted density.

For non-stationary models two plots are produced; a residual probability plot and a residual quantile plot.

See Also

gev.fit, gum.fit

Examples

Run this code
# NOT RUN {
data(portpirie)
ppfit <- gum.fit(portpirie[,2])
gum.diag(ppfit)
# }

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