are.parcau.valid {lmomco} | R Documentation |
Are the Distribution Parameters Consistent with the Cauchy Distribution
Description
Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfcau
, pdfcau
, quacau
, and lmomcau
) require consistent parameters to return the cumulative
probability (nonexceedance), density, quantile, and L-moments of the distribution,
respectively. These functions internally use the are.parcau.valid
function.
Usage
are.parcau.valid(para, nowarn=FALSE)
Arguments
para |
A distribution parameter list returned by |
nowarn |
A logical switch on warning suppression. If |
Value
TRUE |
If the parameters are |
FALSE |
If the parameters are not |
Note
This function calls is.cau
to verify consistency between
the distribution parameter object and the intent of the user.
Author(s)
W.H. Asquith
References
Elamir, E.A.H., and Seheult, A.H., 2003, Trimmed L-moments: Computational Statistics and Data Analysis, v. 43, pp. 299–314.
Gilchrist, W.G., 2000, Statistical modeling with quantile functions: Chapman and Hall/CRC, Boca Raton, FL.
See Also
Examples
para <- vec2par(c(12,12),type='cau')
if(are.parcau.valid(para)) Q <- quacau(0.5,para)