gum.diag: Diagnostic Plots for Gumbel Models

Description Usage Arguments Value See Also Examples

Description

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

Usage

1

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

1
2
3
data(portpirie)
ppfit <- gum.fit(portpirie[,2])
gum.diag(ppfit)

ismev documentation built on May 29, 2017, 11:37 p.m.

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