addelman_const

<code>addelman_const</code> implements the Addelman and Kempthorne construction of orthogonal arrays of strength two.

A collection of functions for sensitivity analysis of model outputs (factor screening, global sensitivity analysis and robustness analysis), for variable importance measures of data, as well as for interpretability of machine learning models. Most of the functions have to be applied on scalar output, but several functions support multi-dimensional outputs.

Bertrand Iooss

sensitivity

Global Sensitivity Analysis of Model Outputs and Importance
Measures

Sebastien Da Veiga

Alexandre Janon

Gilles Pujol

addelman_const function

<dl> <dt>dimension</dt>
<dd>The number of columns of the orthogonal array.</dd> <dt>levels</dt>
<dd>The number of levels of the orthogonal array. Either a prime number or a prime power number.</dd> <dt>choice</dt>
<dd>A character from the list ("U","V","W","X") specifying which orthogonal array to construct (see "Details").</dd> 
</dl>

Arguments

Author

Addelman and Kempthorne construction — addelman_const

<dl>

 <dt>dimension</dt>
<dd>The number of columns of the orthogonal array.</dd>

 <dt>levels</dt>
<dd>The number of levels of the orthogonal array. Either a prime number or a prime power number.</dd>

 <dt>choice</dt>
<dd>A character from the list ("U","V","W","X") specifying which orthogonal array to construct (see "Details").</dd>

 
</dl>

addelman_const: Addelman and Kempthorne construction

Description

Usage

Value

Arguments

Author

Details

References

Examples