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))
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