aggregateUsageMatrix

<code>aggregateUsageMatrix</code> is an internal function for
aggregating item usage matrix into an exposure rate table.

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

aggregateUsageMatrix function

<dl><dt>usage_matrix</dt>
<dd>a (nj, nv) matrix containing item usage.</dd>
<dt>simulation_constants</dt>
<dd>a named list containing simulation constants.</dd>
<dt>constraints</dt>
<dd>a <code>constraints</code> object.</dd></dl>

Arguments

(Internal) Aggregate item usage matrix into exposure rate table — aggregateUsageMatrix

<dl>

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


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


<dt>constraints</dt>
<dd>a <code>constraints</code> object.</dd>

</dl>

aggregateUsageMatrix: (Internal) Aggregate item usage matrix into exposure rate table

Description

Usage

Value

Arguments