are.parrevgum.valid: Are the Distribution Parameters Consistent with the Reverse...

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

Are the Distribution Parameters Consistent with the Reverse Gumbel Distribution

Description

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfrevgum, pdfrevgum, quarevgum, and lmomrevgum) require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the are.parrevgum.valid function.

Usage

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

Arguments

para	A distribution parameter list returned by parrevgum 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 revgum consistent.
FALSE	If the parameters are not revgum consistent.

Note

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

Author(s)

W.H. Asquith

References

Hosking, J.R.M., 1995, The use of L-moments in the analysis of censored data, in Recent Advances in Life-Testing and Reliability, edited by N. Balakrishnan, chapter 29, CRC Press, Boca Raton, Fla., pp. 546–560.

See Also

is.revgum, parrevgum

Examples

para <- vec2par(c(.9252, .1636, .7),type='revgum')
if(are.parrevgum.valid(para)) Q <- quarevgum(0.5,para)

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