optimACS

Computes the mean squared error between a theoretical autocorrelation
structure and the empirical ACS; passed as <code>fn</code> to <code>optim</code> inside
<code>fitACS</code>.

internal

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

optimACS function

<dl><dt>par</dt>
<dd>numeric vector of ACS parameter values</dd>
<dt>id</dt>
<dd>character; ACS identifier (e.g. <code>"weibull"</code>)</dd>
<dt>eACS</dt>
<dd>numeric vector of empirical ACS values</dd>
<dt>error</dt>
<dd>character; error criterion — currently only <code>"MSE"</code></dd></dl>

Arguments

Auxiliary objective function for fitACS — optimACS

<dl>

<dt>par</dt>
<dd>numeric vector of ACS parameter values</dd>


<dt>id</dt>
<dd>character; ACS identifier (e.g. <code>"weibull"</code>)</dd>


<dt>eACS</dt>
<dd>numeric vector of empirical ACS values</dd>


<dt>error</dt>
<dd>character; error criterion — currently only <code>"MSE"</code></dd>

</dl>

optimACS: Auxiliary objective function for `fitACS`

Description

Usage

Value

Arguments

See Also