pyDOE3: An experimental design package for python
=================================================
[](https://github.com/relf/pyDOE3/actions/workflows/tests.yml)
[](https://pydoe3.readthedocs.io/en/latest/?badge=latest)
[](https://zenodo.org/doi/10.5281/zenodo.10958492)
[](https://github.com/astral-sh/ruff)
This package is designed to help the scientist, engineer, statistician, etc., to
construct appropriate experimental designs.
Capabilities
------------
The package currently includes functions for creating designs for any
number of factors:
- **Factorial Designs**
- General Full-Factorial (``fullfact``)
- 2-level Full-Factorial (``ff2n``)
- 2-level Fractional Factorial (``fracfact``)
- Plackett-Burman (``pbdesign``)
- Generalized Subset Designs (``gsd``)
- **Response-Surface Designs**
- Box-Behnken (``bbdesign``)
- Central-Composite (``ccdesign``)
- Doehlert Design (``doehlert_shell_design``, ``doehlert_simplex_design``)
- **Randomized Designs**
- Latin-Hypercube (``lhs``)
- **Low-Discrepancy Sequences**
- Sukharev Grid (``sukharev_grid``)
- **Taguchi Designs**
- Orthogonal arrays and robust design utilities (``taguchi_design``, ``compute_snr``)
- **Optimal Designs**
- Advanced optimal design algorithms (``optimal_design``)
- Optimality criteria (``A``, ``C``, ``D``, ``E``, ``G``, ``I``, ``S``, ``T``, ``V``)
- Search algorithms (``Sequential (Dykstra)``, ``Simple Exchange (Wynn-Mitchell)``, ``Fedorov``, ``Modified Fedorov``, ``DETMAX``)
See [Documentation](https://pydoe3.readthedocs.io).
Installation
------------
```bash
pip install pyDOE3
```
Credits
-------
`pyDOE` original code was originally converted from code by the following
individuals for use with Scilab:
- Copyright (C) 2012-2013, Michael Baudin
- Copyright (C) 2012, Maria Christopoulou
- Copyright (C) 2010-2011, INRIA, Michael Baudin
- Copyright (C) 2009, Yann Collette
- Copyright (C) 2009, CEA, Jean-Marc Martinez
`pyDOE` was converted to Python by the following individual:
- Copyright (c) 2014, Abraham D. Lee
The following individuals forked `pyDOE` and worked on `pyDOE2`:
- Copyright (C) 2018, Rickard Sjögren and Daniel Svensson
`pyDOE3` is a fork of the [`pyDOE2`](https://github.com/clicumu/pyDOE2).
It came to life to solve bugs and issues that remained unsolved in the
`pyDOE2` package.
License
-------
This package is provided under the *BSD License* (3-clause)
References
----------
- [Factorial designs](http://en.wikipedia.org/wiki/Factorial_experiment)
- [Plackett-Burman designs](http://en.wikipedia.org/wiki/Plackett-Burman_design)
- [Box-Behnken designs](http://en.wikipedia.org/wiki/Box-Behnken_design)
- [Central composite designs](http://en.wikipedia.org/wiki/Central_composite_design)
- [Doehlert Design](https://academic.oup.com/jrsssc/article/19/3/231/6882590)
- [Latin-Hypercube designs](http://en.wikipedia.org/wiki/Latin_hypercube_sampling)
- [Taguchi designs](http://en.wikipedia.org/wiki/Taguchi_methods)
- [Generalized Subset Designs](https://doi.org/10.1021/acs.analchem.7b00506)
- [Optimal experimental design](https://en.wikipedia.org/wiki/Optimal_experimental_design)
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