modSE

Calculates the average model standard error and the Monte Carlo standard error of 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

modSE function

<dl><dt>se</dt>
<dd>A numeric vector containing the standard errors 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>se</code> should be removed before modSE calculation.</dd>
<dt>...</dt>
<dd>Additional arguments to be ignored.</dd></dl>

Arguments

Calculates the average model standard error — modSE

<dl>

<dt>se</dt>
<dd>A numeric vector containing the standard errors 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>se</code> should be removed before modSE calculation.</dd>


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

</dl>

modSE: Calculates the average model standard error

Description

Usage

Value

Arguments

Examples