Produce return level plots depicting prior and posterior distributions of gev quantiles.
rl.pst(post, npy, lh = c("gev", "gpd"), ci = 0.9, lty = c(2,1), col = c(2,1),
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.
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.
The confidence coefficient for the plotted prior/posterior probability interval.
Passed to matplot. The first and
second values specify the line type of the probability
interval and the median line respectively.
Passed to matplot. The first and
second values specify the colour of the probability
interval and the median line respectively.
Labels for the x and y axes.
Other arguments passed to matplot.
See the user's guide.
matplot, posterior