are.parlap.valid: 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)
Value
TRUE
If the parameters are lap consistent.
FALSE
If the parameters are not lap consistent.
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.
Author
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.