pyDOE2 1.0.2

Design of experiments for Python

pyDOE2 is a fork of the [pyDOE](https://github.com/tisimst/pyDOE) package that is designed to help the scientist, engineer, statistician, etc., to construct appropriate experimental designs.

This fork came to life to solve bugs and issues that remained unsolved in the original package.

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)

• Response-Surface Designs

  • Box-Behnken (bbdesign)

  • Central-Composite (ccdesign)

• Randomized Designs

  • Latin-Hypercube (lhs)

See the original [package homepage](http://pythonhosted.org/pyDOE) for details on usage and other notes.

Requirements

• NumPy

• SciPy

Installation and download

Through pip:

` pip install pyDOE2 `

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

• Website: forge.scilab.org/index.php/p/scidoe/sourcetree/master/macros

pyDOE was converted to Python by the following individual:

• Copyright (c) 2014, Abraham D. Lee

The following individuals forked and works pyDOE2:

• Copyright (C) 2018 - Rickard Sjögren and Daniel Svensson

License

This package is provided under two licenses:

1. The BSD License (3-clause)

2. Any other that the author approves (just ask!)

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)

• [Latin-Hypercube designs](http://en.wikipedia.org/wiki/Latin_hypercube_sampling)