sanitizeConstraintsData

<code>sanitizeConstraintsData</code> is an internal function for
sanitizing constraints data.

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

sanitizeConstraintsData function

<dl><dt>x</dt>
<dd>a <code><a href="/link/data.frame?package=TestDesign&version=1.7.0" data-mini-rdoc="TestDesign::data.frame">data.frame</a></code> containing constraints data.</dd></dl>

Arguments

(Internal) Sanitize constraints data — sanitizeConstraintsData

<dl>

<dt>x</dt>
<dd>a <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code> containing constraints data.</dd>

</dl>

sanitizeConstraintsData: (Internal) Sanitize constraints data

Description

Usage

Value

Arguments