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ismev (version 1.3)

pp.fitrange: Fitting the Point Process Model Over a Range of Thresholds

Description

Maximum-likelihood fitting for a stationary point process model, over a range of thresholds. Graphs of parameter estimates which aid the selection of a threshold are produced.

Usage

pp.fitrange(data, umin, umax, npy = 365, nint = 10, show = FALSE)

Arguments

data
A numeric vector of data to be fitted.
umin, umax
The minimum and maximum thresholds at which the model is fitted.
npy
The number of observations per year/block.
nint
The number of fitted models.
show
Logical; if TRUE, print details of each fit.

Value

  • Three graphs showing maximum likelihood estimates and confidence intervals of the location, scale and shape parameters over a range of thresholds are produced.

See Also

pp.fit, mrl.plot, gpd.fit, gpd.fitrange

Examples

Run this code
data(rain)
pp.fitrange(rain, 10, 40)

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