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ExperimentalDesign.jl

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ExperimentalDesign.jl provides tools for Design of Experiments in Julia, enabling the construction of designs for screening, modeling, exploration, and optimization.

Development on this package is ongoing, so expect things to change. Pull requests are more than welcome! Current features are:

  • Designs supporting categorical and continuous factors
  • Integration with StatsModels @formula
  • Full factorial designs
  • Plackett-Burman designs for screening
  • Flexible random designs using the Distributions package
  • Variance-optimizing designs for several criteria

Intended features include the ones provided by R packages such as DoE.base, FrF2, and AlgDesign.

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