updateUsageMatrix

<code>updateUsageMatrix</code> is an internal function for
updating an item usage matrix. An item usage matrix is a
(nj, nv) matrix with <code>TRUE</code> or <code>FALSE</code> values.
The rows represent examinees, and the columns represent decision variables.

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

updateUsageMatrix function

<dl><dt>usage_matrix</dt>
<dd>a (nj, nv) matrix containing item usage.</dd>
<dt>j</dt>
<dd>the examinee index.</dd>
<dt>x</dt>
<dd>an <code>output_Shadow</code> object containing the examinee's simulation data.</dd>
<dt>simulation_constants</dt>
<dd>a named list containing simulation constants.</dd></dl>

Arguments

(Internal) Update item usage matrix — updateUsageMatrix

<dl>

<dt>usage_matrix</dt>
<dd>a (nj, nv) matrix containing item usage.</dd>


<dt>j</dt>
<dd>the examinee index.</dd>


<dt>x</dt>
<dd>an <code>output_Shadow</code> object containing the examinee's simulation data.</dd>


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

</dl>

updateUsageMatrix: (Internal) Update item usage matrix

Description

Usage

Value

Arguments