lnHyperPars

<code>lnHyperPars</code> is a function for calculating parameters for a log-normal distribution, such that the distribution yields desired mean and standard deviation.
Used for sampling the a-parameter.

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

lnHyperPars function

<dl><dt>mean</dt>
<dd>the desired mean.</dd>
<dt>sd</dt>
<dd>the desired standard deviation.</dd></dl>

Arguments

Convert mean and standard deviation into log-normal distribution parameters — lnHyperPars

<dl>

<dt>mean</dt>
<dd>the desired mean.</dd>


<dt>sd</dt>
<dd>the desired standard deviation.</dd>

</dl>

lnHyperPars: Convert mean and standard deviation into log-normal distribution parameters

Description

Usage

Value

Arguments

Examples