rlfuns: Return Levels with ggplot2

In proto4426/PissoortThesis: Thesis in Extreme Value Theory

Description

rl_piss() is designed to compute plots from ggplot2 package and gev.rl.gradient() is used inside rl_piss() to compute the gradient estimates.

Usage

gev.rl.gradient(est, p)

rl_piss(est, mat, data, thm = theme_piss())

Arguments

est	numeric vector containing the GEV estimates of the 3 parameters.
p	the given probability of exceeding the threshold in a year. Only used through gev.rl.gradient function.
mat	Covariance matrix of the estimates
data	numeric vector containing the GEV block-maxima
theme	ggplot2's theme used for the plots

Details

See ismev package details for more in-depth informations

Value

Corresponding plot of the return levels

Author(s)

Antoine Pissoort, [e-mail]

References

Stuart Coles. An Introduction to Statistical Modeling of Extreme Values. Springer Series in Statistics. Springer London, London, 2001.

Examples

rl_piss(gev_tx$mle, gev_tx$cov, gev_tx$data)

proto4426/PissoortThesis documentation built on May 26, 2019, 10:31 a.m.