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lmomco (version 1.7.3)

cdf2lmoms: Compute L-moments from Cumulative Distribution Function

Description

Compute the L-moments from a cumulative distribution function. For $r \ge 1$, the L-moments can be computed by sequential calling of the cdf2lmom function. Consult the documentation of that function for mathematical definitions.

Usage

cdf2lmoms(para, nmom=6, fdepth=0, silent=TRUE, lambegr=1, ...)

Arguments

para
The parameters from lmom2par or similar.
nmom
The number of moments to compute. Default is 6.
fdepth
The depth of the nonexceedance/exceedance probabilities to determine the lower and upper integration limits through a call to the par2qua function. The default of 0 implies the quantile for $F=0$ and quanti
silent
A logical to be passed into cdf2lmom and then onto the try functions encompassing the integrate function calls.
lambegr
The $r$th order to begin the sequence lambegr:nmom for L-moment computation. Can be used as a means to bypass a mean computation if the user has an alternative method; in such an operation lambegr=2.
...
Additional arguments to pass to cdf2lmom.

Value

  • An R list is returned.
  • lambdasVector of the L-moments. First element is $\hat{\lambda}^{(0,0)}_1$, second element is $\hat{\lambda}^{(0,0)}_2$, and so on.
  • ratiosVector of the L-moment ratios. Second element is $\hat{\tau}^{(0,0)}$, third element is $\hat{\tau}^{(0,0)}_3$ and so on.
  • trimLevel of symmetrical trimming used in the computation, which will equal NULL as not support for trimming is provided.
  • leftrimLevel of left-tail trimming used in the computation, which will equal NULL as not support for trimming is provided.
  • rightrimLevel of right-tail trimming used in the computation, which will equal NULL as not support for trimming is provided.
  • sourceAn attribute identifying the computational source of the L-moments: cdf2lmoms.

See Also

cdf2lmom, lmoms

Examples

Run this code
cdf2lmoms(vec2par(c(10,40), type="ray"))

# relatively slow computation
vec2par(c(.9,.4), type="emu"); cdf2lmoms(para, nmom=4)
vec2par(c(.9,.4), type="emu"); cdf2lmoms(para, nmom=4, fdepth=0)

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