texmextexmex package.hist.gpd(x, xlab, ylab, main, ...)
rl.gpd(object, alpha = 0.05, xlab, ylab, main, pch=1, col=2, cex=0.75,
linecol=4, cicol=0, polycol=15, smooth=TRUE)
qqgpd(object, nsim = 1000, alpha = 0.05, xlab, ylab, main, plot = TRUE,
ylim = "auto", pch=1, col = 2, cex = 0.75, linecol = 4, cicol = 0,
polycol = 15, smooth = TRUE)
ppgpd(object, nsim = 1000, alpha = 0.05, xlab, ylab, main,
pch=1, col = 2, cex = 0.75, linecol = 4, cicol = 0,
polycol = 15, smooth = TRUE)
u2gpd(u, p=1, th=0, sigma, xi)
mexGumbel(x, method = "mixture", divisor = "n+1", na.rm=TRUE)
revGumbel(x, data, qu, th=0, sigma=1, xi=0, method="mixture")
gpd.fit(y, th, X.phi, X.xi, penalty="none", start=NULL,
priorParameters = NULL, maxit = 10000, trace = 0)smooth = TRUE.alpha = 0.05.method = 'mixture', the upper tail of the
distribution is modelled using a generalized Pareto distribution and the remainder
is approximated using the empirical distribution.gpd, migpd or mex, or inferred from
those functions after some preprocessing.The plotting functions are used internally by plot.gpd.
Some of the code is based on code that appears in the ismev package,
originally written by Stuart Coles.