Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (cdfemu
, pdfemu
, quaemu
, lmomemu
), and lmomemu
require consistent parameters to return the cumulative probability (nonexceedance), density, quantile, and L-moments of the distribution, respectively. These functions internally use the are.paremu.valid
function. The documentation for pdfemu
provides the conditions for valid parameters.
are.paremu.valid(para, nowarn=FALSE)
If the parameters are emu
consistent.
If the parameters are not emu
consistent.
A distribution parameter list returned by paremu
or vec2par
.
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.
W.H. Asquith
is.emu
, paremu