generateSampleFromPriorPar

<code>generateSampleFromPriorPar</code> is an internal function for
generating random theta samples from prior distribution.

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

generateSampleFromPriorPar function

<dl><dt>config_theta</dt>
<dd>a named list containing theta estimation configurations.</dd>
<dt>j</dt>
<dd>the examinee index to perform the sample generation.</dd>
<dt>bayesian_constants</dt>
<dd>a named list containing Bayesian constants.</dd></dl>

Arguments

(Internal) Generate random theta samples from prior distribution — generateSampleFromPriorPar

<dl>

<dt>config_theta</dt>
<dd>a named list containing theta estimation configurations.</dd>


<dt>j</dt>
<dd>the examinee index to perform the sample generation.</dd>


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

</dl>

generateSampleFromPriorPar: (Internal) Generate random theta samples from prior distribution

Description

Usage

Value

Arguments