par2lmom

para


This function acts as a frontend or dispatcher to the distribution-specific L-moments of the parameter values. This function dispatches to <code>lmomCCC</code> where CCC represents the three character (minimum) distribution identifier:
<code>aep4</code>, <code>cau</code>, <code>emu</code>, <code>exp</code>, <code>gam</code>, <code>gev</code>, <code>gld</code>, <code>glo</code>, <code>gno</code>, <code>gov</code>, <code>gpa</code>, <code>gum</code>, <code>kap</code>, <code>kmu</code>, <code>kur</code>, <code>lap</code>, <code>lmrq</code>, <code>ln3</code>, <code>nor</code>, <code>pe3</code>, <code>ray</code>, <code>revgum</code>, <code>rice</code>, <code>sla</code>, <code>st3</code>, <code>texp</code>, <code>wak</code>, and <code>wei</code>.<p></p><p>The conversion of parameters to TL-moments (<code><a rd-options="" href="/link/TLmoms?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::TLmoms">TLmoms</a></code>) is not supported. Specific use of functions such as <code><a rd-options="" href="/link/lmomTLgld?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::lmomTLgld">lmomTLgld</a></code> and <code><a rd-options="" href="/link/lmomTLgpa?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::lmomTLgpa">lmomTLgpa</a></code> for the TL-moments of the Generalized Lambda and Generalized Pareto distributions is required.
</p>

L-moment (distribution)

L-moment (parameters to)

Extensive functions for L-moments (LMs) and probability-weighted moments (PWMs), parameter estimation for distributions, LM computation for distributions, and L-moment ratio diagrams. Maximum likelihood and maximum product of spacings estimation are also available. LMs for right-tail and left-tail censoring by known or unknown threshold and by indicator variable are available. Asymmetric (asy.) trimmed LMs (TL-moments, TLMs) are supported. LMs of residual (resid.) and reversed (rev.) resid. life are implemented along with 13 quantile function operators for reliability and survival analyses.  Exact analytical bootstrap estimates of order statistics, LMs, and variances-covariances of LMs are provided. The Harri-Coble Tau34-squared Normality Test is available. Distribution support with "L" (LMs), "TL" (TLMs) and added (+) support for right-tail censoring (RC) encompasses: Asy. Exponential (Exp.) Power [L], Asy. Triangular [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen.) Exp. Poisson [L], Gen. Extreme Value [L], Gen. Lambda [L,TL], Gen. Logistic [L), Gen. Normal [L], Gen. Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Resid. Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type III [L], Rayleigh [L], Rev.-Gumbel [L+RC], Rice/Rician [L], Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull [L]. Multivariate sample L-comoments (LCMs) are implemented to measure asymmetric association.

William Asquith

lmomco

L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments,
and Many Distributions

par2lmom function


This function acts as a frontend or dispatcher to the distribution-specific L-moments of the parameter values. This function dispatches to <code>lmomCCC</code> where CCC represents the three character (minimum) distribution identifier:
<code>aep4</code>, <code>cau</code>, <code>emu</code>, <code>exp</code>, <code>gam</code>, <code>gev</code>, <code>gld</code>, <code>glo</code>, <code>gno</code>, <code>gov</code>, <code>gpa</code>, <code>gum</code>, <code>kap</code>, <code>kmu</code>, <code>kur</code>, <code>lap</code>, <code>lmrq</code>, <code>ln3</code>, <code>nor</code>, <code>pe3</code>, <code>ray</code>, <code>revgum</code>, <code>rice</code>, <code>sla</code>, <code>st3</code>, <code>texp</code>, <code>wak</code>, and <code>wei</code>.

The conversion of parameters to TL-moments (<code><a rd-options='' href='TLmoms'>TLmoms</a></code>) is not supported. Specific use of functions such as <code><a rd-options='' href='lmomTLgld'>lmomTLgld</a></code> and <code><a rd-options='' href='lmomTLgpa'>lmomTLgpa</a></code> for the TL-moments of the Generalized Lambda and Generalized Pareto distributions is required.


par2lmom: Convert the Parameters of a Distribution to the L-moments

Description

Usage

Arguments

Value

See Also

Examples