plot.fitDist

Displays the empirical CDF against the fitted theoretical CDF on a
log-exceedance-probability scale.

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

plot.fitDist function

<dl><dt>x</dt>
<dd>a <code>fitDist</code> object returned by <code>fitDist</code></dd>
<dt>...</dt>
<dd>currently unused</dd></dl>

Arguments

Plot method for fitDist objects — plot.fitDist

<dl>

<dt>x</dt>
<dd>a <code>fitDist</code> object returned by <code>fitDist</code></dd>


<dt>...</dt>
<dd>currently unused</dd>

</dl>

plot.fitDist: Plot method for `fitDist` objects

Description

Usage

Value

Arguments

See Also

Examples