Diagnostic Plots for Order Statistics Models
Produces diagnostic plots for order statistics models using
the output of the function rlarg.fit.
rlarg.diag(z, n = z$r)
z |
An object returned by |
n |
Probability and quantile plots are produced for the
largest |
For stationary models four plots are initially produced;
a probability plot, a quantile plot, a return level plot
and a histogram of data with fitted density.
Then probability and quantile plots are produced for the
largest n order statistics.
For non-stationary models residual probability plots and
residual quantile plots are produced for the largest
n order statistics.
## Not run: data(venice) ## Not run: venfit <- rlarg.fit(venice[,-1]) ## Not run: rlarg.diag(venfit)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.