getConstants

<code>getConstants</code> is an internal function for
parsing constants for adaptive test assembly simulation.

internal

Uses the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and
van der Linden (2018) <doi:10.1201/9781315117430> to construct fixed, adaptive, and parallel tests.
Supports the following mixed-integer programming (MIP) solver packages: 'Rsymphony',
'highs', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>.

Seung W. Choi

TestDesign

Optimal Test Design Approach to Fixed and Adaptive Test
Construction

Sangdon Lim

getConstants function

<dl><dt>constraints</dt>
<dd>a <code>constraints</code> object representing test specifications. Use <code>loadConstraints</code> for this.</dd>
<dt>config</dt>
<dd>a <code>config_Shadow</code> object. Use <code>createShadowTestConfig</code> for this.</dd>
<dt>arg_data</dt>
<dd>the <code>data</code> argument from <code>Shadow</code>.</dd>
<dt>true_theta</dt>
<dd>the <code>true_theta</code> argument from <code>Shadow</code>.</dd>
<dt>max_info</dt>
<dd>the maximum possible information attainable by any single item in the pool.
This is used to determine the M value if M is not supplied.</dd></dl>

Arguments

(Internal) Parse constants for adaptive test assembly simulation — getConstants

<dl>

<dt>constraints</dt>
<dd>a <code>constraints</code> object representing test specifications. Use <code>loadConstraints</code> for this.</dd>


<dt>config</dt>
<dd>a <code>config_Shadow</code> object. Use <code>createShadowTestConfig</code> for this.</dd>


<dt>arg_data</dt>
<dd>the <code>data</code> argument from <code>Shadow</code>.</dd>


<dt>true_theta</dt>
<dd>the <code>true_theta</code> argument from <code>Shadow</code>.</dd>


<dt>max_info</dt>
<dd>the maximum possible information attainable by any single item in the pool.
This is used to determine the M value if M is not supplied.</dd>

</dl>

getConstants: (Internal) Parse constants for adaptive test assembly simulation

Description

Usage

Value

Arguments