plotShadowAudit

<code>plotShadowAudit</code> is an internal function for
plotting audit trail of a single examinee,
showing interim theta estimates over the course of an adaptive test.

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

plotShadowAudit function

<dl><dt>x</dt>
<dd>an <code>output_Shadow</code> object.</dd>
<dt>theta_range</dt>
<dd>the theta range to use on the y-axis.</dd>
<dt>z_ci</dt>
<dd>the confindence interval value to use in the z metric. <code>z_ci = 1.96</code> is equivalent to plotting 95% error bars.</dd>
<dt>use_par</dt>
<dd><code>TRUE</code> allows this function to set graphic margins through <code><a href="/link/par?package=TestDesign&version=1.7.0" data-mini-rdoc="TestDesign::par">par</a></code>.</dd>
<dt>...</dt>
<dd>not used.</dd></dl>

Arguments

(Internal) Plot audit trail of a single examinee — plotShadowAudit

<dl>

<dt>x</dt>
<dd>an <code>output_Shadow</code> object.</dd>


<dt>theta_range</dt>
<dd>the theta range to use on the y-axis.</dd>


<dt>z_ci</dt>
<dd>the confindence interval value to use in the z metric. <code>z_ci = 1.96</code> is equivalent to plotting 95% error bars.</dd>


<dt>use_par</dt>
<dd><code>TRUE</code> allows this function to set graphic margins through <code><a href='https://rdrr.io/r/graphics/par.html'>par</a></code>.</dd>


<dt>...</dt>
<dd>not used.</dd>

</dl>

plotShadowAudit: (Internal) Plot audit trail of a single examinee

Description

Usage

Arguments