are.pargno.valid: Are the Distribution Parameters Consistent with the Generalized Normal Distribution

Description

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfgno, pdfgno, quagno, and lmomgno) require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the are.pargno.valid function.

Usage

are.pargno.valid(para, nowarn=FALSE)

Value

TRUE: If the parameters are gno consistent.
FALSE: If the parameters are not gno consistent.

Arguments

para: A distribution parameter list returned by pargno 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., 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.

Examples

Run this code

para <- pargno(lmoms(c(123,34,4,654,37,78)))
if(are.pargno.valid(para)) Q <- quagno(0.5,para)

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