Aggregator-class

An object of class <code>Aggregator</code> consists of a label and a function
<code>aggregate</code> that has a single argument <code>ev</code> that is a list of
length equal to the number of draws. This list consists of the evaluated
values of all metrics on a single method for a single model.

A framework for performing simulations such as those common in
methodological statistics papers. The design principles of this package
are described in greater depth in Bien, J. (2016) "The simulator: An Engine
to Streamline Simulations," which is available at <arXiv:1607.00021>.

Jacob Bien

simulator

An Engine for Running Simulations

Aggregator-class function

<dl>
<dt><code>label</code></dt>
<dd>a human readable label that will be a prefix to the Eval's label</dd></dl>
<dt><code>aggregate</code></dt>
<dd>a function with argument <code>ev</code> that is a list of
length <code>nsim</code> and returns a scalar.</dd>

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An S4 class for aggregating evaluated metrics — Aggregator-class

<dl>
<dt><code>label</code></dt>
<dd>a human readable label that will be a prefix to the Eval's label</dd>


<dt><code>aggregate</code></dt>
<dd>a function with argument <code>ev</code> that is a list of
length <code>nsim</code> and returns a scalar.</dd>


</dl>

Aggregator-class: An S4 class for aggregating evaluated metrics

Description

Arguments

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