vec2par

A vector of parameter values for the distribution specified by type.

Three character distribution type (for example, <code>type='gev'</code>).

type

A logical switch on warning surpression. 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 a

nowarn

Additional arguments for the <code><a href="/link/are.par.valid?package=lmomco&version=0.6" rd-options="" data-mini-rdoc="lmomco::are.par.valid">are.par.valid</a></code> call that is made internally.

This function converts the L-moments of the data to the parameters of a
distribution. The type of distribution is specified in the 
argument list: <code>cau</code>, <code>exp</code>, <code>gam</code>, <code>gev</code>, <code>glo</code>, <code>gno</code>, <code>gpa</code>,
<code>gum</code>, <code>kap</code>, <code>nor</code>, <code>pe3</code>, and <code>wak</code>.

distribution

The package implements the statistical theory of L-moments including 
 L-moment estimation, probability-weighted moment estimation, parameter estimation 
 for numerous familiar and not-so-familiar distributions, and L-moment estimation 
 for the same distributions from the parameters. L-moments are derived from the 
 expectations of order statistics and are linear with respect to the probability- 
 weighted moments. L-moments are directly analogous to the well-known product 
 moments; however, L-moments have many advantages including unbiasedness, 
 robustness, and consistency with respect to the product moments. This package 
 is oriented around the FORTRAN algorithms of J.R.M. Hosking, and the 
 nomenclature for many of the functions parallels that of the Hosking library. 
 Numerous additional features are added to aid in extension of the breadth of 
 L-moment application. Much theoretical extension of L-moment theory has 
 occurred in recent years. E.A.H. Elamir and A.H. Seheult have developed the 
 trimmed L-moments, which are implemented in this package. Further, recent 
 developments by Robert Serfling and Peng Xiao have extended L-moments into 
 multivariate space; the so-called sample L-comoments are implemented here. The 
 supported distributions with moment type shown as L (L-moments) or TL (trimmed 
 L-moments) include the Cauchy(TL), Exponential(L), Gamma(L), Generalized Extreme 
 Value(L), Generalized Lambda(L/TL), Generalized Logistic (L), Generalized 
 Normal(L), Generalized Pareto(L/TL), Gumbel(L), Normal(L), Kappa(L), Pearson 
 Type III(L), and Wakeby(L).

vec2par: Convert a Vector of Parameters to a Parameter Object of a Distribution

Description

Usage

Arguments

Value

See Also

Examples