Produce return level plots depicting prior and posterior predictive gev distributions.
rl.pred(post, qlim, npy, lh = c("gev", "gpd"), period = 1, lty = 1, col = 1,
xlab = "return period", ylab = "return level", ...)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.
A Markov chain generated using posterior,
containing samples from the corresponding prior/posterior
distribution.
A vector of length two, giving the limits for the quantiles at which the predictive probabilities are calculated.
The Number of observation Per Year (in average). If ``gev'' likelihood, ``npy'' is supposed to be equal to 1 i.e. annual maxima.
The likelihood.
A vector of integers. One curve is plotted for
each element of period. The \(i\)th curve depicts
the probabilities that that quantiles will be exceeded over
the next period[i] periods.
Passed to matplot.
Passed to matplot.
Labels for the x and y axes.
Other arguments passed to matplot.
See the user's guide.
matplot, posterior