revd: Random numbers for GEV and GP

In philmu/climex: Estimating Extreme Events in Climatic Time Series (using Data of the DWD)

Random numbers for GEV and GP

Description

Drawing random numbers from the GEV or GP distribution

Usage

revd(n, location = NULL, scale = NULL, shape = NULL,
  threshold = NULL, model = c("gev", "gpd"), silent = FALSE)

Arguments

n	Number of samples to draw
location	Of the GEV distribution. Default = NULL.
scale	Of the GEV/GP distribution. Default = NULL.
shape	Of the GEV/GP distribution. Default = NULL.
threshold	Used in the GP distribution. This parameter is optional but should be provided in order to create a representation of the fitted data exceedance. Default = NULL.
model	String determining whether to calculate the initial parameters of the GEV ("gev") or GP ("gpd") function. Default = "gev"
silent	Whether to display warnings or not. Default = FALSE.

Details

This function was originally part of the extRemes package. But since one had to provide the threshold, I couldn't use it insight the fit.gpd function. In contrast to the original implementation this function only features constant location, scale, and shape parameters. If you want to do time dependent analysis of extreme events, please refer to the original package.

Value

Numerical vector of length n drawn from the corresponding distribution.

Author(s)

Philipp Mueller

See Also

Other extremes: block.list, block.xts, block, decluster.list, decluster.xts, decluster, extremal.index, gev.density, gpd.density, qevd, return.level.climex.fit.gev, return.level.climex.fit.gpd, return.level.list, return.level.numeric, return.level, rlevd, threshold.list, threshold.xts, threshold, upper.limit.climex.fit.gev, upper.limit.climex.fit.gpd, upper.limit.list, upper.limit.numeric, upper.limit

philmu/climex documentation built on July 11, 2022, 3:23 p.m.