# are.parwak.valid: Are the Distribution Parameters Consistent with the Wakeby... In lmomco: L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments, and Many Distributions

## Description

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (`cdfwak`, `pdfwak`, `quawak`, and `lmomwak`) require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the `are.parwak.valid` function.

## Usage

 `1` ```are.parwak.valid(para, nowarn=FALSE) ```

## Arguments

 `para` A distribution parameter list returned by `parwak` 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 `wak` consistent. `FALSE` If the parameters are not `wak` consistent.

## Note

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

W.H. Asquith

## References

Hosking, J.R.M., 1996, FORTRAN routines for use with the method of L-moments: Version 3, IBM Research Report RC20525, T.J. Watson Research Center, Yorktown Heights, New York.

Hosking, J.R.M., and Wallis, J.R., 1997, Regional frequency analysis—An approach based on L-moments: Cambridge University Press.

## See Also

`is.wak`, `parwak`

## Examples

 ```1 2``` ```para <- parwak(lmoms(c(123,34,4,654,37,78))) if(are.parwak.valid(para)) Q <- quawak(0.5,para) ```

lmomco documentation built on Aug. 4, 2021, 9:06 a.m.