EnsembleData-class

A class that holds the observation data, simulator outputs, and prior information to convert into the required form for <code>fit_ensemble_model</code>.

Fit and sample from the ensemble model described in Spence et al (2018): "A general framework for combining ecosystem models"<doi:10.1111/faf.12310>.

Michael A. Spence

EcoEnsemble

A General Framework for Combining Ecosystem Models

James A. Martindale

Michael J. Thomson

Thomas I. J. Bartos

EnsembleData-class function

<dl>
<dt><code>stan_input</code></dt>
<dd>A <code>list</code> of parameters in the correct form to fit the ensemble model in Stan.</dd></dl>
<dt><code>observations</code></dt>
<dd>A <code>list</code> of length 2 containing observations and a covariance matrix. The first element is a <code>data.frame</code> or <code>matrix</code> with each column giving observations of each output of interest and each row a time. Rows should be named with the times and columns should be named the variables. The second element is the covariance matrix of the observations.</dd>
<dt><code>simulators</code></dt>
<dd>A <code>list</code> with length equal to the number of simulators. For each simulator, there is a <code>list</code> of 2 objects containing the simulator output and covariance matrix. The first element is a <code>data.frame</code> or <code>matrix</code> with each column giving a simulator outputs of interest and each row a time. Rows should be named with the times and columns should be named the variables. The second element is the covariance matrix of the simulator outputs.</dd>
<dt><code>priors</code></dt>
<dd>An <code>EnsemblePrior</code> object specifying the prior distributions for the ensemble.</dd>

Slots

A class to hold the Ensemble data — EnsembleData-class

<dl>
<dt><code>stan_input</code></dt>
<dd>A <code>list</code> of parameters in the correct form to fit the ensemble model in Stan.</dd>


<dt><code>observations</code></dt>
<dd>A <code>list</code> of length 2 containing observations and a covariance matrix. The first element is a <code>data.frame</code> or <code>matrix</code> with each column giving observations of each output of interest and each row a time. Rows should be named with the times and columns should be named the variables. The second element is the covariance matrix of the observations.</dd>


<dt><code>simulators</code></dt>
<dd>A <code>list</code> with length equal to the number of simulators. For each simulator, there is a <code>list</code> of 2 objects containing the simulator output and covariance matrix. The first element is a <code>data.frame</code> or <code>matrix</code> with each column giving a simulator outputs of interest and each row a time. Rows should be named with the times and columns should be named the variables. The second element is the covariance matrix of the simulator outputs.</dd>


<dt><code>priors</code></dt>
<dd>An <code>EnsemblePrior</code> object specifying the prior distributions for the ensemble.</dd>


</dl>

EnsembleData-class: A class to hold the Ensemble data

Description

Arguments

Slots

See Also