rl.pred {evdbayes} | R Documentation |
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", ...)
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 . |
See the user's guide.
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.