lmomRCmark

The right-tail censoring (upper) marking variable for unknown threshold: 1 is uncensored, 0 is censored.

rcmark

The L-moment order to return, default is the mean.

Do the data need sorting? The availability of this option is to avoid unnecessary overhead of sorting on each call to this function by the primary higher-level function <code><a rd-options="" href="/link/lmomsRCmark?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::lmomsRCmark">lmomsRCmark</a></code>.

sort


Compute the sample L-moments for right-tail censored data set in which censored data values are identified by a marking variable.


data censoring

L-moment (sample)

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

lmomRCmark function

Do the data need sorting? The availability of this option is to avoid unnecessary overhead of sorting on each call to this function by the primary higher-level function <code><a rd-options='' href='lmomsRCmark'>lmomsRCmark</a></code>.

lmomRCmark: Sample L-moment for Right-Tail Censoring by a Marking Variable

Description

Usage

Arguments

Value

References

See Also

Examples