lmom.CCC.test functions, where
CCC represents distribution: exp, gam, gev, glo, gno, gpa,
gum, kap, nor, pe3, revgum, wak, and wei. The motivation for the function is provide an example and builtin tool
to assess the performance of the algorithms implements the L-moments for the
supported univariate distributions functions. This function is to broadly call each supported
distribution in the library through (1) computation of the L-moments of the data,
(2) computation of the corresponding parameters of the distribution, and
(3) return computation of the of the theoretical L-moments of the distribution.
The differences between the sample and theoretical L-moments are produced by
lmom.diff. Further the median quantile of the distribution is computed
through the quantile function, and in turn, the median nonexceedance probability
is computed through the cumulative distribution function.lmom.test.all(data)lmom.diff,
lmom.test.exp,
lmom.test.gam,
lmom.test.gev,
lmom.test.glo,
lmom.test.gno,
lmom.test.gpa,
lmom.test.gum,
lmom.test.kap,
lmom.test.nor,
lmom.test.pe3,
lmom.test.revgum,
lmom.test.wak, and
lmom.test.wei.lmom.test.all(c(123,34,4,654,37,78))Run the code above in your browser using DataLab