Multi-Criteria Design of Experiments for Optimal Design

Multi-criteria design of experiments algorithm that simultaneously optimizes up to six different criteria ('I', 'Id', 'D', 'Ds', 'A' and 'As'). The algorithm finds the optimal Pareto front and, if requested, selects a possible symmetrical design on it. The symmetrical design is selected based on two techniques: minimum distance with the Utopia point or the 'TOPSIS' approach.


multiDoE

Multi-criteria design of experiments algorithm that simultaneously optimizes up to six different criteria (I, Id, D, Ds, A and As). The algorithm finds the optimal Pareto front and, if requested, selects a possible symmetrical design on it. The symmetrical design is selected based on two techniques: minimum distance with the Utopia point or the TOPSIS approach.

Installation

You can install the released version of multiDoE from CRAN with:

install.packages("multiDoE")

Example

See the vignette.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("multiDoE")

0.9.4 by Andrea Melloncelli, 2 years ago


https://github.com/andreamelloncelli/multiDoE


Browse source code at https://github.com/cran/multiDoE


Authors: Francesca Cucchi [aut] , Andrea Melloncelli [aut, cre] , Francesco Sambo [aut] , Kalliopi Mylona [aut] , Matteo Borrotti [aut]


Documentation:   PDF Manual  


CC BY 4.0 license


Imports ggplot2, magrittr, plotly, pracma

Suggests devtools, here, knitr, logr, markdown, rgl, rmarkdown, testthat, usethis


See at CRAN