are.parkap.valid: Are the Distribution Parameters Consistent with the Kappa Distribution
Description
Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfkap, pdfkap, quakap, and
lmomkap) require consistent parameters to return the cumulative
probability (nonexceedance), density, quantile, and L-moments of the distribution,
respectively. These functions internally use the are.parkap.valid
function.
Usage
are.parkap.valid(para, nowarn=FALSE)
Value
TRUE
If the parameters are kap consistent.
FALSE
If the parameters are not kap consistent.
Arguments
para
A distribution parameter list returned by parkap or vec2par.
nowarn
A logical switch on warning suppression. If TRUE then options(warn=-1) is made and restored on return. This switch is to permit calls in which warnings are not desired as the user knows how to handle the returned value---say in an optimization algorithm.
Author
W.H. Asquith
References
Hosking, J.R.M., 1994, The four-parameter kappa distribution: IBM Journal of Reserach and Development, v. 38, no. 3, pp. 251--258.
Hosking, J.R.M., and Wallis, J.R., 1997, Regional frequency analysis---An approach based on L-moments: Cambridge University Press.