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lmomco (version 2.4.14)

are.parln3.valid: Are the Distribution Parameters Consistent with the 3-Parameter Log-Normal Distribution

Description

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfln3, pdfln3, qualn3, and lmomln3) require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the are.parln3.valid function.

Usage

are.parln3.valid(para, nowarn=FALSE)

Value

TRUE

If the parameters are ln3 consistent.

FALSE

If the parameters are not ln3 consistent.

Arguments

para

A distribution parameter list returned by parln3 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

Asquith, W.H., 2011, Distributional analysis with L-moment statistics using the R environment for statistical computing: Createspace Independent Publishing Platform, ISBN 978--146350841--8.

See Also

is.ln3, parln3

Examples

Run this code
para <- parln3(lmoms(c(123,34,4,654,37,78)))
if(are.parln3.valid(para)) Q <- qualn3(0.5,para)

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