par2cdf

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 <code><a rd-options="" href="/link/vec2par?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::vec2par">vec2par</a></code>.

para

The additional arguments are passed to the cumulative distribution function such as <code>paracheck=FALSE</code> for the Generalized Lambda distribution (<code><a rd-options="" href="/link/cdfgld?package=lmomco&version=2.2.5" data-mini-rdoc="lmomco::cdfgld">cdfgld</a></code>).


This function acts as a front end or dispatcher to the distribution-specific cumulative distribution functions.


cumulative distribution 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

par2cdf function

The parameters from <code><a rd-options='' href='lmom2par'>lmom2par</a></code> or <code><a rd-options='' href='vec2par'>vec2par</a></code>.

The additional arguments are passed to the cumulative distribution function such as <code>paracheck=FALSE</code> for the Generalized Lambda distribution (<code><a rd-options='' href='cdfgld'>cdfgld</a></code>).

par2cdf: Cumulative Distribution Function of the Distributions

Description

Usage

Arguments

Value

See Also

Examples