getInfoFixedTheta

<code>getInfoFixedTheta</code> is an internal function for
calculating item information for fixed-theta item selection methods.
This is done once at the start of the simulation and cached for speed gain.

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

getInfoFixedTheta function

<dl><dt>item_selection</dt>
<dd>a list containing item selection config.</dd>
<dt>simulation_constants</dt>
<dd>a named list containing simulation constants.</dd>
<dt>item_pool</dt>
<dd>an item pool object.</dd>
<dt>model</dt>
<dd>sanitized item model codes to be fed to C++ functions.</dd></dl>

Arguments

(Internal) Precalculate item information for fixed-theta item selection methods — getInfoFixedTheta

<dl>

<dt>item_selection</dt>
<dd>a list containing item selection config.</dd>


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


<dt>item_pool</dt>
<dd>an item pool object.</dd>


<dt>model</dt>
<dd>sanitized item model codes to be fed to C++ functions.</dd>

</dl>

getInfoFixedTheta: (Internal) Precalculate item information for fixed-theta item selection methods

Description

Usage

Value

Arguments