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, npy, lh = c("gev", "gpd"), period = 1, lty = 1, col = 1,
xlab = "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.
npy The Number of observation Per Year (in average). If ``gev'' likelihood, ``npy'' is supposed to be equal to 1 i.e. annual maxima.
lh The likelihood.
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


[Package evdbayes version 1.0-7 Index]