RMSE

Calculate Root Mean Squared Error.

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

RMSE function

<dl><dt>x</dt>
<dd>A vector of values.</dd>
<dt>y</dt>
<dd>A vector of values.</dd>
<dt>conditional</dt>
<dd>If <code>TRUE</code>, calculate RMSE conditional on x.</dd></dl>

Arguments

Calculate Root Mean Squared Error — RMSE

<dl>

<dt>x</dt>
<dd>A vector of values.</dd>


<dt>y</dt>
<dd>A vector of values.</dd>


<dt>conditional</dt>
<dd>If <code>TRUE</code>, calculate RMSE conditional on x.</dd>

</dl>

RMSE: Calculate Root Mean Squared Error

Description

Usage

Arguments