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

In wasquith/lmomco: L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions

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)

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.

Value

TRUE	If the parameters are gov consistent.
FALSE	If the parameters are not gov consistent.

Note

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

Author(s)

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

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

wasquith/lmomco documentation built on Nov. 13, 2024, 4:53 p.m.