fitDist

Uses Nelder-Mead simplex algorithm to minimize fitting norms.

Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).

Kevin Shook

CoSMoS

Complete Stochastic Modelling Solution

Simon Michael Papalexiou

Francesco Serinaldi

Filip Strnad

Yannis Markonis

fitDist function

<dl><dt>data</dt>
<dd>value to be fitted</dd>
<dt>dist</dt>
<dd>name of the distribution to be fitted</dd>
<dt>n.points</dt>
<dd>number of points to be subsetted from ecdf</dd>
<dt>norm</dt>
<dd>norm used for distribution fitting - id ('N1', 'N2', 'N3', 'N4')</dd>
<dt>constrain</dt>
<dd>logical - constrain shape2 parametes for finite tails</dd>
<dt>opts</dt>
<dd>minimization options</dd></dl>

Arguments

Distribution fitting — fitDist

<dl>

<dt>data</dt>
<dd>value to be fitted</dd>


<dt>dist</dt>
<dd>name of the distribution to be fitted</dd>


<dt>n.points</dt>
<dd>number of points to be subsetted from ecdf</dd>


<dt>norm</dt>
<dd>norm used for distribution fitting - id ('N1', 'N2', 'N3', 'N4')</dd>


<dt>constrain</dt>
<dd>logical - constrain shape2 parametes for finite tails</dd>


<dt>opts</dt>
<dd>minimization options</dd>

</dl>

fitDist: Distribution fitting

Description

Usage

Arguments

Examples