applyOverlapConstraintsToInfo

<code>applyOverlapConstraintsToInfo</code> is an internal function for modifying item information using eligibility constraints.
This is known as the big M method.
The function penalizes item information of items that have been administered previously (within examinees).
This leads to those items being deterred from selected in shadowtest assembly, unless necessary.

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

applyOverlapConstraintsToInfo function

<dl><dt>info</dt>
<dd>a length-ni vector containing item information on each item, intended for shadow-test assembly.</dd>
<dt>usage_flag</dt>
<dd>a length-ni vector containing how many times each item has been administered previously to the examinee.</dd>
<dt>config</dt>
<dd>a config object.</dd>
<dt>simulation_constants</dt>
<dd>a named list containing simulation constants.</dd></dl>

Arguments

(Internal) Modify item information using overlap constraints — applyOverlapConstraintsToInfo

<dl>

<dt>info</dt>
<dd>a length-ni vector containing item information on each item, intended for shadow-test assembly.</dd>


<dt>usage_flag</dt>
<dd>a length-ni vector containing how many times each item has been administered previously to the examinee.</dd>


<dt>config</dt>
<dd>a config object.</dd>


<dt>simulation_constants</dt>
<dd>a named list containing simulation constants.</dd>

</dl>

applyOverlapConstraintsToInfo: (Internal) Modify item information using overlap constraints

Description

Usage

Value

Arguments