ACO-class

An S4 class for the Ant Colony Optimization Algorithm

Performs automatic creation of short forms of scales with an
ant colony optimization algorithm and a Tabu search. As implemented in the
package, the ant colony algorithm randomly selects items to build a model of
a specified length, then updates the probability of item selection according
to the fit of the best model within each set of searches. The algorithm
continues until the same items are selected by multiple ants a given number
of times in a row. On the other hand, the Tabu search changes one parameter at
a time to be either free, constrained, or fixed while keeping track of the
changes made and putting changes that result in worse fit in a "tabu" list
so that the algorithm does not revisit them for some number of searches.
See Leite, Huang, & Marcoulides (2008) <doi:10.1080/00273170802285743> for
an applied example of the ant colony algorithm, and Marcoulides & Falk (2018)
<doi:10.1080/10705511.2017.1409074> for an applied example of the Tabu search.

Anthony Raborn

ShortForm

Automatic Short Form Creation

Walter Leite

ACO-class function

<dl>
<dt><code>function_call</code></dt>
<dd>The original function call.</dd></dl>
<dt><code>summary</code></dt>
<dd>A summary `data.frame` indicating the algorithm results for
each iteration.</dd>
<dt><code>final_solution</code></dt>
<dd>A `matrix` with the final solution information, including
fit indices, selected items, and pheromone level.</dd>
<dt><code>best_model</code></dt>
<dd>A `lavaan` object of the final solution.</dd>
<dt><code>best_syntax</code></dt>
<dd>A `character` vector of the final solution model syntax.</dd>
<dt><code>runtime</code></dt>
<dd>A `difftime` object of the total run time of the function.</dd>

Slots

An S4 class for the Ant Colony Optimization Algorithm — ACO-class

<dl>
<dt><code>function_call</code></dt>
<dd>The original function call.</dd>


<dt><code>summary</code></dt>
<dd>A summary `data.frame` indicating the algorithm results for
each iteration.</dd>


<dt><code>final_solution</code></dt>
<dd>A `matrix` with the final solution information, including
fit indices, selected items, and pheromone level.</dd>


<dt><code>best_model</code></dt>
<dd>A `lavaan` object of the final solution.</dd>


<dt><code>best_syntax</code></dt>
<dd>A `character` vector of the final solution model syntax.</dd>


<dt><code>runtime</code></dt>
<dd>A `difftime` object of the total run time of the function.</dd>


</dl>

ACO-class: An S4 class for the Ant Colony Optimization Algorithm

Description

Arguments

Value

Slots