generateItemParameterSample

<code>generateItemParameterSample</code> is a function for generating item parameter samples.
Used for the FB (full-Bayesian) estimation method.

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

generateItemParameterSample function

<dl><dt>config</dt>
<dd>a <code>config_Shadow</code> object. Use <code>createShadowTestConfig</code> for this.</dd>
<dt>item_pool</dt>
<dd>an <code>item_pool</code> object. Use <code>loadItemPool</code> for this.</dd>
<dt>bayesian_constants</dt>
<dd>a named list containing Bayesian constants.</dd></dl>

Arguments

(Internal) Generate item parameter samples for Bayesian purposes — generateItemParameterSample

<dl>

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


<dt>item_pool</dt>
<dd>an <code>item_pool</code> object. Use <code>loadItemPool</code> for this.</dd>


<dt>bayesian_constants</dt>
<dd>a named list containing Bayesian constants.</dd>

</dl>

generateItemParameterSample: (Internal) Generate item parameter samples for Bayesian purposes

Description

Usage

Value

Arguments