Calculates the Mean Squared Error of the model estimates from the true value and the Monte Carlo standard error for this estimate.

Allows users to quickly apply individual or multiple metrics to evaluate Monte Carlo simulation studies.

Rex Parsons

simMetric

Metrics (with Uncertainty) for Simulation Studies that Evaluate
Statistical Methods

mse function

<dl><dt>true_value</dt>
<dd>The true value which is being estimated.</dd>
<dt>estimates</dt>
<dd>A numeric vector containing the estimates from the model(s).</dd>
<dt>get</dt>
<dd>A character vector containing the values returned by the function.</dd>
<dt>na.rm</dt>
<dd>A logical value indicating whether NA values for <code>estimates</code> should be removed before MSE calculation.</dd>
<dt>...</dt>
<dd>Additional arguments to be ignored.</dd></dl>

Arguments

Calculate the Mean Squared Error — mse

<dl>

<dt>true_value</dt>
<dd>The true value which is being estimated.</dd>


<dt>estimates</dt>
<dd>A numeric vector containing the estimates from the model(s).</dd>


<dt>get</dt>
<dd>A character vector containing the values returned by the function.</dd>


<dt>na.rm</dt>
<dd>A logical value indicating whether NA values for <code>estimates</code> should be removed before MSE calculation.</dd>


<dt>...</dt>
<dd>Additional arguments to be ignored.</dd>

</dl>

mse: Calculate the Mean Squared Error

Description

Usage

Value

Arguments

Examples