are.pargep.valid {lmomco}

Are the Distribution Parameters Consistent with the Generalized Exponential Poisson Distribution

Description

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfgep, pdfgep, quagep, and lmomgep) require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the are.pargep.valid function. The parameters must be \beta > 0, \kappa > 0, and h > 0.

Usage

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

Arguments

para

A distribution parameter list returned by pargep 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 gep consistent.

FALSE

If the parameters are not gep consistent.

Note

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

Author(s)

W.H. Asquith

References

Barreto-Souza, W., and Cribari-Neto, F., 2009, A generalization of the exponential-Poisson distribution: Statistics and Probability, 79, pp. 2493–2500.

See Also

is.gep, pargep

Examples

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