are.parlap.valid: Are the Distribution Parameters Consistent with the Laplace...

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

Are the Distribution Parameters Consistent with the Laplace Distribution

Description

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdflap, pdflap, qualap, and lmomlap) require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the are.parlap.valid function.

Usage

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

Arguments

para	A distribution parameter list returned by parlap 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 lap consistent.
FALSE	If the parameters are not lap consistent.

Note

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

Author(s)

W.H. Asquith

References

Hosking, J.R.M., 1986, The theory of probability weighted moments: IBM Research Report RC12210, T.J. Watson Research Center, Yorktown Heights, New York.

See Also

is.lap, parlap

Examples

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

wasquith/lmomco documentation built on April 20, 2024, 7:20 p.m.