are.parkur.valid: 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)
Value
TRUE
If the parameters are kur consistent.
FALSE
If the parameters are not kur consistent.
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.
Author
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.