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lmomco (version 2.4.14)

are.parpdq3.valid: Are the Distribution Parameters Consistent with the Polynomial Density-Quantile#

Description

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfpdq3, pdfpdq3, quapdq3, and lmompdq3) require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the are.parpdq3.valid function.

Usage

are.parpdq3.valid(para, nowarn=FALSE)

Value

TRUE

If the parameters are pdq3 consistent.

FALSE

If the parameters are not pdq3 consistent.

Arguments

para

A distribution parameter list returned by parpdq3 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

See Also

is.pdq3, parpdq3

Examples

Run this code
para <- parpdq3(lmoms(c(46, 70, 59, 36, 71, 48, 46, 63, 35, 52)))
if(are.parpdq3.valid(para)) Q <- quapdq3(0.5, para)

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