cdfgpa | R Documentation |
This function computes the cumulative probability or nonexceedance probability of the Generalized Pareto distribution given parameters (\xi
, \alpha
, and \kappa
) computed by pargpa
. The cumulative distribution function is
F(x) = 1 - \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 \xi \le x \le \xi + \alpha/\kappa
if k > 0
; \xi \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.)
cdfgpa(x, para)
x |
A real value vector. |
para |
The parameters from |
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.
pdfgpa
, quagpa
, lmomgpa
, pargpa
lmr <- lmoms(c(123, 34, 4, 654, 37, 78))
cdfgpa(50, pargpa(lmr))
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