computeEAPFromPosterior

<code>computeEAPFromPosterior</code> is an internal function for converting posterior densities into an EAP estimate.

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

computeEAPFromPosterior function

<dl><dt>posterior</dt>
<dd>a named list posterior densities and likelihoods.</dd>
<dt>theta_grid</dt>
<dd>a vector containing quadrature points corresponding to the above.</dd></dl>

Arguments

(Internal) Convert posterior densities into an EAP estimate — computeEAPFromPosterior

<dl>

<dt>posterior</dt>
<dd>a named list posterior densities and likelihoods.</dd>


<dt>theta_grid</dt>
<dd>a vector containing quadrature points corresponding to the above.</dd>

</dl>

computeEAPFromPosterior: (Internal) Convert posterior densities into an EAP estimate

Description

Usage

Value

Arguments