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multiDoE  

Multi-Criteria Design of Experiments for Optimal Design
View on CRAN: Click here


Download and install multiDoE package within the R console
Install from CRAN:
install.packages("multiDoE")

Install from Github:
library("remotes")
install_github("cran/multiDoE")

Install by package version:
library("remotes")
install_version("multiDoE", "0.9.4")



Attach the package and use:
library("multiDoE")
Maintained by
Andrea Melloncelli
[Scholar Profile | Author Map]
First Published: 2024-12-03
Latest Update: 2024-12-03
Description:
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.
How to cite:
Andrea Melloncelli (2024). multiDoE: Multi-Criteria Design of Experiments for Optimal Design. R package version 0.9.4, https://cran.r-project.org/web/packages/multiDoE. Accessed 03 May. 2025.
Previous versions and publish date:
0.9.2 (2024-11-19 10:50)
Other packages that cited multiDoE R package
View multiDoE citation profile
Other R packages that multiDoE depends, imports, suggests or enhances
Complete documentation for multiDoE
Functions, R codes and Examples using the multiDoE R package
Full multiDoE package functions and examples
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