| cdfgev | R Documentation |
This function computes the cumulative probability or nonexceedance probability of the Generalized Extreme Value distribution given parameters (\xi, \alpha, and \kappa) computed by pargev. The cumulative distribution function is
F(x) = \mathrm{exp}(-\mathrm{exp}(-Y)) \mbox{,}
where Y is
Y = -\kappa^{-1} \log\left(1 - \frac{\kappa(x-\xi)}{\alpha}\right)\mbox{,}
for \kappa \ne 0 and
Y = (x-\xi)/\alpha\mbox{,}
for \kappa = 0, where F(x) is the nonexceedance probability for quantile x, \xi is a location parameter, \alpha is a scale parameter, and \kappa is a shape parameter. The range of x is -\infty < x \le \xi + \alpha/\kappa if k > 0; \xi + \alpha/\kappa \le x < \infty if \kappa \le 0. Note that the shape parameter \kappa parameterization of the distribution herein follows that in tradition by the greater L-moment community and others use a sign reversal on \kappa. (The evd package is one example.)
cdfgev(x, para, paracheck=TRUE)
x |
A real value vector. |
para |
The parameters from |
paracheck |
A logical switch as to whether the validity of the parameters should be checked. |
Nonexceedance probability (F) for x.
W.H. Asquith
Hosking, J.R.M., 1990, L-moments—Analysis and estimation of distributions using linear combinations of order statistics: Journal of the Royal Statistical Society, Series B, v. 52, pp. 105–124, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.2517-6161.1990.tb01775.x")}.
Hosking, J.R.M., 1996, FORTRAN routines for use with the method of L-moments: Version 3, IBM Research Report RC20525, T.J. Watson Research Center, Yorktown Heights, New York.
Hosking, J.R.M., and Wallis, J.R., 1997, Regional frequency analysis—An approach based on L-moments: Cambridge University Press.
pdfgev, quagev, lmomgev, pargev
lmr <- lmoms(c(123, 34, 4, 654, 37, 78))
cdfgev(50, pargev(lmr))
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