Need help with pyDOE?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

tisimst
144 Stars 80 Forks BSD 3-Clause "New" or "Revised" License 81 Commits 19 Opened issues

Description

Design of experiments for Python

Services available

!
?

Need anything else?

Contributors list

No Data

=====================================================

pyDOE
: The experimental design package for python

The

pyDOE
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
)
  • Response-Surface Designs

#. Box-Behnken (

bbdesign
)

#. Central-Composite (

ccdesign
)
  • Randomized Designs

#. Latin-Hypercube (

lhs
)

See the

package homepage
_ for details on usage and other notes

What's New

In this release, an incorrect indexing variable in the internal LHS function

_pdist
has been corrected so point-distances are now calculated accurately.

Requirements

  • NumPy
  • SciPy

Installation and download

See the

package homepage
_ for helpful hints relating to downloading and installing pyDOE.

Source Code

The latest, bleeding-edge but working

code
_ and
documentation source
_ are available
on GitHub 
_.

Contact

Any feedback, questions, bug reports, or success stores should be sent to the

author
_. I'd love to hear from you!

Credits

This code was originally published 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

Much thanks goes to these individuals.

And thanks goes out to the following for finding and offering solutions for bugs:

  • Ashmeet Singh

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
    _
  • Plackett-Burman designs
    _
  • Box-Behnken designs
    _
  • Central composite designs
    _
  • Latin-Hypercube designs
    _

.. author: mailto:[email protected] .. _Factorial designs: http://en.wikipedia.org/wiki/Factorialexperiment .. Box-Behnken designs: http://en.wikipedia.org/wiki/Box-Behnkendesign .. Central composite designs: http://en.wikipedia.org/wiki/Centralcompositedesign .. _Plackett-Burman designs: http://en.wikipedia.org/wiki/Plackett-Burmandesign .. Latin-Hypercube designs: http://en.wikipedia.org/wiki/Latinhypercube_sampling .. _package homepage: http://pythonhosted.org/pyDOE .. _lhs documentation: http://pythonhosted.org/pyDOE/randomized.html#latin-hypercube

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.