par2pdf

Nonexceedance probability (\(0 \le F \le 1\)).

The parameters from <code><a rd-options="" href="/link/lmom2par?package=lmomco&version=2.3.7" data-mini-rdoc="lmomco::lmom2par">lmom2par</a></code> or similar.

para

The additional arguments are passed to the quantile function such as <code>paracheck = FALSE</code> for the Generalized Lambda distribution (<code><a rd-options="" href="/link/quagld?package=lmomco&version=2.3.7" data-mini-rdoc="lmomco::quagld">quagld</a></code>).

This function acts as a frontend or dispatcher to the distribution-specific probability density functions.

probability density 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 associations.

William Asquith

lmomco

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

par2pdf function

<dl> <dt>f</dt>
<dd>Nonexceedance probability (\(0 \le F \le 1\)).</dd> <dt>para</dt>
<dd>The parameters from <code>lmom2par</code> or similar.</dd> <dt>...</dt>
<dd>The additional arguments are passed to the quantile function such as <code>paracheck = FALSE</code> for the Generalized Lambda distribution (<code>quagld</code>).</dd></dl>

Arguments

Author

Probability Density Function of the Distributions — par2pdf

<dl>

 <dt>f</dt>
<dd>Nonexceedance probability (\(0 \le F \le 1\)).</dd>

 <dt>para</dt>
<dd>The parameters from <code>lmom2par</code> or similar.</dd>

 <dt>...</dt>
<dd>The additional arguments are passed to the quantile function such as <code>paracheck = FALSE</code> for the Generalized Lambda distribution (<code>quagld</code>).</dd>

</dl>

par2pdf: Probability Density Function of the Distributions

Description

Usage

Value

Arguments

Author

See Also

Examples