rl.pred {evdbayes}R Documentation

Return Level Plots for GEV Predictive Distributions

Description

Produce return level plots depicting prior and posterior predictive gev distributions.

Usage

rl.pred(post, qlim, period = 1, lty = 1, col = 1, xlab =
    "-1/log(1-1/return period)", ylab = "return level", ...)

Arguments

post A Markov chain generated using posterior, containing samples from the corresponding prior/posterior distribution.
qlim A vector of length two, giving the limits for the quantiles at which the predictive probabilities are calculated.
period A vector of integers. One curve is plotted for each element of period. The ith curve depicts the probabilities that that quantiles will be exceeded over the next period[i] periods.
lty Passed to matplot.
col Passed to matplot.
xlab, ylab Labels for the x and y axes.
... Other arguments passed to matplot.

Details

See the user's guide.

Value

The first two arguments to matplot are returned invisibly as a list.
If a linear trend on the location has been implemented, the plot corresponds to the distribution obtained when the trend parameter is zero.

See Also

matplot, posterior


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