
This function estimates the parameters (lmoms
. The relations between distribution parameters and L-moments are seen under lmomln3
. The function uses algorithms of the Generalized Normal for core computations. Also, if
parln3(lmom, zeta=NULL, checklmom=TRUE, ...)
An R
list
is returned.
The type of distribution: ln3
.
The parameters of the distribution.
The source of the parameters: “parln3”.
An L-moment object created by lmoms
or vec2lmom
.
Lower bounds, if NULL
then solved for.
Should the lmom
be checked for validity using the are.lmom.valid
function. Normally this should be left as the default and it is very unlikely that the L-moments will not be viable (particularly in the
Other arguments to pass.
W.H. Asquith
Let the L-moments by in variable lmr
, if the pargno
does not have intrinsic control on the lower bounds and parln3
does. The pargno
and parln3
but only parln3(lmr, zeta=0)
. In otherwords, if
Asquith, W.H., 2011, Distributional analysis with L-moment statistics using the R environment for statistical computing: Createspace Independent Publishing Platform, ISBN 978--146350841--8.
lmomln3
,
cdfln3
, pdfln3
, qualn3
, pargno