get.search.options

Use this function to determine how the model search is performed.

Methods and tools for model selection and multi-model inference (Burnham and Anderson (2002) <doi:10.1007/b97636>, among others).
'SUR' (for parameter estimation), 'logit'/'probit' (for binary classification), and 'VARMA' (for time-series forecasting) are implemented.
Evaluations are both in-sample and out-of-sample.
It is designed to be efficient in terms of CPU usage and memory consumption.

Ramin Mojab

Automated Uncertainty Analysis

Stephen Becker

get.search.options function

<dl><dt>parallel</dt>
<dd>If <code>TRUE</code>, a parallel search algorithm is used. This generally changes the speed and memory usage.</dd>
<dt>reportInterval</dt>
<dd>An integer representing the time interval (in seconds) for reporting progress (if any significant change has occurred). Set to zero to disable reporting.</dd></dl>

Arguments

Get Extra Options for Model Search Process — get.search.options

<dl>

<dt>parallel</dt>
<dd>If <code>TRUE</code>, a parallel search algorithm is used. This generally changes the speed and memory usage.</dd>


<dt>reportInterval</dt>
<dd>An integer representing the time interval (in seconds) for reporting progress (if any significant change has occurred). Set to zero to disable reporting.</dd>

</dl>

get.search.options: Get Extra Options for Model Search Process

Description

Usage

Value

Arguments