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lmomco (version 2.4.14)

are.pargov.valid: Are the Distribution Parameters Consistent with the Govindarajulu Distribution

Description

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfgov, pdfgov, quagov, and lmomgov) require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the are.pargov.valid function.

Usage

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

Value

TRUE

If the parameters are gov consistent.

FALSE

If the parameters are not gov consistent.

Arguments

para

A distribution parameter list returned by pargov 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

Gilchrist, W.G., 2000, Statistical modelling with quantile functions: Chapman and Hall/CRC, Boca Raton.

Nair, N.U., Sankaran, P.G., and Balakrishnan, N., 2013, Quantile-based reliability analysis: Springer, New York.

See Also

is.gov, pargov

Examples

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

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