print.mevr

Print nicely formatted output of the fit to the MEVD and its variants

Extreme value analysis with the metastatistical extreme value distribution MEVD (Marani and Ignaccolo, 2015, <doi:10.1016/j.advwatres.2015.03.001>) and some of its variants. In particular, analysis can be performed with the simplified metastatistical extreme value distribution SMEV (Marra et al., 2019, <doi:10.1016/j.advwatres.2019.04.002>) and the temporal metastatistical extreme value distribution TMEV (Falkensteiner et al., 2023, <doi:10.1016/j.wace.2023.100601>). Parameters can be estimated with probability weighted moments, maximum likelihood and least squares. The data can also be left-censored prior to a fit. Density, distribution function, quantile function and random generation for the MEVD, SMEV and TMEV are included. In addition, functions for the calculation of return levels including confidence intervals are provided. For a description of use cases please see the provided references.

Harald Schellander

mevr

Fitting the Metastatistical Extreme Value Distribution MEVD

Alexander Lieb

Marc-Andre Falkensteiner

print.mevr function

<dl><dt>x</dt>
<dd>Object of class <code>mevr</code>, fitted with MEVD, SMEV or TMEV.</dd>
<dt>digits</dt>
<dd>Number of digits.</dd>
<dt>...</dt>
<dd>Additional parameters.</dd></dl>

Arguments

Print method for object of class mevr — print.mevr

<dl>

<dt>x</dt>
<dd>Object of class <code>mevr</code>, fitted with MEVD, SMEV or TMEV.</dd>


<dt>digits</dt>
<dd>Number of digits.</dd>


<dt>...</dt>
<dd>Additional parameters.</dd>

</dl>

print.mevr: Print method for object of class mevr

Description

Usage

Value

Arguments

Examples