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

Description

This function is a dispatcher on top of the are.parCCC.valid functions, where CCC represents the distribution type: aep4, cau, exp, gam, gev, glo, gno, gov, gpa, gum, kap, kur, lap, ln3, nor, pe3, ray, revgum, rice, sla, st3, wak, or wei. Internally, this function is called only by vec2par in the process of converting a vector into a proper distribution parameter object for this package.

Usage

are.par.valid(para,...)

Arguments

para

A distribution parameter object having at least attributes type and para.

...

Additional arguments for the are.parCCC.valid call that is made internally.

Value

TRUEIf the parameters are consistent with the distribution specified by the type attribute of the parameter object.
FALSEIf the parameters are not consistent with the distribution specified by the type attribute of the parameter object.

References

Asquith, W.H., 2011, Distributional analysis with L-moment statistics using the R environment for statistical computing: CreateSpace Independent Publishing Platform, 2nd printing, ISBN 978-1463508418.

Examples

Run this code

vec  <- c(12,120)           # parameters of exponential distribution
para <- vec2par(vec,'exp')  # build exponential distribution parameter
                            # object
# The following two conditionals are equivalent as are.parexp.valid()
# is called within are.par.valid().
if(are.par.valid(para))    Q <- quaexp(0.5,para)
if(are.parexp.valid(para)) Q <- quaexp(0.5,para)