slmomco

The parameters from <code><a rd-options="" href="/link/lmom2par?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::lmom2par">lmom2par</a></code> or similar.

para


This function acts as an alternative front end to <code><a rd-options="" href="/link/par2cdf?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::par2cdf">par2cdf</a></code> but reverses the probability to form the survival function. Conceptually, $S(F) = 1 - F(x)$ where $F(x)$ is <code><a rd-options="" href="/link/plmomco?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::plmomco">plmomco</a></code> (implemented by <code><a rd-options="" href="/link/par2cdf?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::par2cdf">par2cdf</a></code>). The nomenclature of the <code><a rd-options="" href="/link/slmomco?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::slmomco">slmomco</a></code> function is to mimic that of built-in <span style="R">R</span> functions that interface with distributions.


The lmomco functions

The lmomco function mimics of R nomenclature

reversed cumulative distribution function

survival function

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

slmomco function

The parameters from <code><a rd-options='' href='lmom2par'>lmom2par</a></code> or similar.


This function acts as an alternative front end to <code><a rd-options='' href='par2cdf'>par2cdf</a></code> but reverses the probability to form the survival function. Conceptually, $S(F) = 1 - F(x)$ where $F(x)$ is <code><a rd-options='' href='plmomco'>plmomco</a></code> (implemented by <code><a rd-options='' href='par2cdf'>par2cdf</a></code>). The nomenclature of the <code><a rd-options='' href='slmomco'>slmomco</a></code> function is to mimic that of built-in <span style="R">R</span> functions that interface with distributions.


slmomco: Reversed Cumulative Distribution Function (Survival Function) of the Distributions

Description

Usage

Arguments

Value

See Also

Examples