| cdfgld {lmomco} | R Documentation |
Cumulative Distribution Function of the Generalized Lambda Distribution
Description
This function computes the cumulative probability or nonexceedance probability of the Generalized Lambda distribution given parameters (\xi, \alpha, \kappa, and h) computed by pargld. The cumulative distribution function has no explicit form and requires numerical methods. The R function uniroot is used to root the quantile function quagld to compute the nonexceedance probability. The function returns 0 or 1 if the x argument is at or beyond the limits of the distribution as specified by the parameters.
Usage
cdfgld(x, para, paracheck)
Arguments
x |
A real value vector. |
para |
|
paracheck |
A logical switch as to whether the validity of the parameters should be checked. Default is |
Value
Nonexceedance probability (F) for x.
Author(s)
W.H. Asquith
References
Asquith, W.H., 2007, L-moments and TL-moments of the generalized lambda distribution: Computational Statistics and Data Analysis, v. 51, no. 9, pp. 4484–4496.
Karian, Z.A., and Dudewicz, E.J., 2000, Fitting statistical distributions—The generalized lambda distribution and generalized bootstrap methods: CRC Press, Boca Raton, FL, 438 p.
See Also
pdfgld, quagld, lmomgld, pargld
Examples
## Not run:
P <- vec2par(c(123,340,0.4,0.654),type='gld')
cdfgld(300,P, paracheck=FALSE)
par <- vec2par(c(0,-7.901925e+05, 6.871662e+01, -3.749302e-01), type="gld")
supdist(par)
## End(Not run)