Last chance! 50% off unlimited learning
Sale ends in
pargno
are consistent with the corresponding distribution,
otherwise a list would not have been returned. However, other
functions (cdfgno
, quagno
, and
lmomgno
require consistent parameters to return the cumulative
probability (nonexceedance), quantile, and L-moments of the distribution,
respectively. These functions internally use the are.pargno.valid
function. The FORTRAN source code of Hosking provides the basis
for the function.are.pargno.valid(para,nowarn=FALSE)
pargno
.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 agno
consistent.gno
consistent.Hosking, J.R.M. and Wallis, J.R., 1997, Regional frequency analysis---An approach based on L-moments: Cambridge University Press.
is.gno
para <- pargno(lmom.ub(c(123,34,4,654,37,78)))
if(are.pargno.valid(para)) Q <- quagno(0.5,para)
Run the code above in your browser using DataLab