are.pargep.valid

A distribution parameter list returned by <code><a rd-options="" href="/link/pargep?package=lmomco&version=2.3.7" data-mini-rdoc="lmomco::pargep">pargep</a></code> or <code><a rd-options="" href="/link/vec2par?package=lmomco&version=2.3.7" data-mini-rdoc="lmomco::vec2par">vec2par</a></code>.

para

A logical switch on warning suppression. If <code>TRUE</code> then <code>options(warn=-1)</code> is made and restored on return. This switch is to permit calls in which warnings are not desired as the user knows how to handle the returned value---say in an optimization algorithm.

nowarn

Is the distribution parameter object consistent with the corresponding distribution? The distribution functions (<code>cdfgep</code>, <code>pdfgep</code>, <code>quagep</code>, and
<code>lmomgep</code>) require consistent parameters to return the cumulative
probability (nonexceedance), density, quantile, and L-moments of the distribution,
respectively. These functions internally use the <code>are.pargep.valid</code>
function. The parameters must be \(\beta &gt; 0\), \(\kappa &gt; 0\), and \(h &gt; 0\).

utility (distribution)

Distribution: Generalized Exponential Poisson

utility (distribution/parameter validation)

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

are.pargep.valid function

<dl> <dt>para</dt>
<dd>A distribution parameter list returned by <code>pargep</code> or <code>vec2par</code>.</dd> <dt>nowarn</dt>
<dd>A logical switch on warning suppression. If <code>TRUE</code> then <code>options(warn=-1)</code> is made and restored on return. This switch is to permit calls in which warnings are not desired as the user knows how to handle the returned value---say in an optimization algorithm.</dd></dl>

Arguments

Author

Are the Distribution Parameters Consistent with the Generalized Exponential Poisson Distribution — are.pargep.valid

<dl>

 <dt>para</dt>
<dd>A distribution parameter list returned by <code>pargep</code> or <code>vec2par</code>.</dd>

 <dt>nowarn</dt>
<dd>A logical switch on warning suppression. If <code>TRUE</code> then <code>options(warn=-1)</code> is made and restored on return. This switch is to permit calls in which warnings are not desired as the user knows how to handle the returned value---say in an optimization algorithm.</dd>

</dl>

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are.pargep.valid: Are the Distribution Parameters Consistent with the Generalized Exponential Poisson Distribution

Description

Usage

Value

Arguments

Author

References

See Also

Examples