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Order-of-addition experiments in R using OofAExp
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Shin‐Fu Tsai* DOI：10.1080/00224065.2026.2658159.png)
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Abstract
En 中文
Order-of-addition experiments are often conducted to study physical systems and production processes in which different component addition orders may yield different final responses. By fitting parametric models to the observed data, active effects can be initially identified to understand how the experimental responses depend on the component addition orders. Based on the identified effects, prediction models can then be built to determine optimal orders. Several efficient experimental designs and analysis methods have been proposed to address such order-of-addition problems in recent years. An R package called OofAExp is introduced in this article to implement these proposals. The package is illustrated by several examples. In addition, a series of simulation studies is conducted to determine the default values of some functions.
Keywords:
Experimental design
order-of-addition experiment
orthogonal array
pseudo factor
quality improvement
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2.2
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57
Citations:
2.9K
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