are.parkur.valid {lmomco}

Are the Distribution Parameters Consistent with the Kumaraswamy Distribution

Description

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfkur, pdfkur, quakur, and lmomkur) require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the are.parkur.valid function.

Usage

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

Arguments

para

A distribution parameter list returned by parkur 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.

Value

TRUE

If the parameters are kur consistent.

FALSE

If the parameters are not kur consistent.

Note

This function calls is.kur to verify consistency between the distribution parameter object and the intent of the user.

Author(s)

W.H. Asquith

References

Jones, M.C., 2009, Kumaraswamy's distribution—A beta-type distribution with some tractability advantages: Statistical Methodology, v. 6, pp. 70–81.

See Also

is.kur, parkur

Examples

para <- parkur(lmoms(c(0.25, 0.4, 0.6, 0.65, 0.67, 0.9)))
if(are.parkur.valid(para)) Q <- quakur(0.5,para)