vec2pwm

A vector of PWM values in (\(\beta_0\), \(\beta_1\), \(\beta_2\), \(\beta_3\), \(\beta_4\)) order.

A logical controlling the returned data structure.

as.list

This function converts a vector of probability-weighted moments (PWM) to a PWM
object of lmomco. The object is an R <code>list</code>. This function is intended
to facilitate the use of PWM that the user might have from other sources. The
first five PWMs are supported (\(\beta_0\), \(\beta_1\), \(\beta_2\),
\(\beta_3\), \(\beta_4\)) if <code>as.list=FALSE</code> otherwise the \(\beta_r\) are unlimited.

utility (vector)

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 associations.

vec2pwm: Convert a Vector of Probability-Weighted Moments to a Probability-Weighted Moments Object

Description

Usage

Arguments

Value

See Also

Examples