| Kappa3Pars {UKFE} | R Documentation |
Kappa3 distribution parameter estimates
Description
Estimated parameters from a sample (using Lmoments) or from user supplied L1 (first L-moment), Lcv (linear coefficient of variation), and LSkew (linear skewness)
Usage
Kappa3Pars(x = NULL, L1, LCV, LSKEW)
Arguments
x |
numeric vector. The sample |
L1 |
first Lmoment |
LCV |
linear coefficient of variation |
LSKEW |
linear skewness |
Details
The L-moment estimated parameters are by the method detailed in 'Hosking J. Wallis J. 1997 Regional Frequency Analysis: An Approach Based on L-moments. Cambridge University Press, New York'. The Kappa3 distribution is as defined by This is the Kappa3 distribution as defined in Kjeldsen, T (2019), 'The 3-parameter Kappa distribution as an alternative for use with FEH pooling groups.'Circulation - The Newsletter of the British Hydrological Society, no. 142.
Value
Parameter estimates (location, scale, shape)
Author(s)
Anthony Hammond
Examples
#Get an annual maximum sample and estimate the parameters.
AM.27090 <- GetAM(27090)
Kappa3Pars(AM.27090$Flow)
#calculate Lmoments and estimate the parmeters with L1, L2, Lcv, and Lskew
LPars <- as.numeric(Lmoms(AM.27090$Flow))[c(1,2,5,6)]
Kappa3Pars(L1 = LPars[1], LCV = LPars[2], LSKEW = LPars[3])