rlevel.gev: Calculate Return Levels Based on GEV Fit
In evir: Extreme Values in R

Description Usage Arguments Details Value See Also Examples

Calculates the k-block return level and 95% confidence interval based on a GEV model for block maxima, where k is specified by the user. The k-block return level is that level exceeded once every k blocks, on average.

1	rlevel.gev(out, k.blocks = 20, add = FALSE, ...)

`out`	an object returned by the function `gev`
`k.blocks`	specifies the particular return level to be estimated; default set arbitrarily to 20
`add`	whether the return level should be added graphically to a time series plot; if `FALSE` a graph of the profile likelihood curve showing the return level and its confidence interval is produced
`...`	other graphics parameters

The GEV likelihood is reparameterized in terms of the unknown return level and profile likelihood arguments are used to construct a confidence interval.

Vector containing lower 95% bound of confidence interval, estimated return level and upper 95% bound.

gev, plot.gev

data(bmw)
out <- gev(bmw, "month")
# Fit GEV to monthly maxima of daily returns on BMW share price
## Not run: rlevel.gev(out, 40)
# Calculate the 40 month return level