rl.pst {evdbayes} | R Documentation |
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", ...)
post |
A Markov chain generated using posterior ,
containing samples from the corresponding prior/posterior
distribution. |
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. |
ci |
The confidence coefficient for the plotted prior/posterior probability interval. |
lty |
Passed to matplot . The first and
second values specify the line type of the probability
interval and the median line respectively. |
col |
Passed to matplot . The first and
second values specify the colour of the probability
interval and the median line respectively. |
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.