pyDOE
: The experimental design package for pythonThe pyDOE
package is designed to help the
scientist, engineer, statistician, etc., to construct appropriate
experimental designs.
The package currently includes functions for creating designs for any number of factors:
Factorial Designs
fullfact
)ff2n
)fracfact
)pbdesign
)Response-Surface Designs
bbdesign
)ccdesign
)Randomized Designs
lhs
)See the package homepage
_ for details on usage and other notes
In this release, an incorrect indexing variable in the internal LHS function
_pdist
has been corrected so point-distances are now calculated accurately.
See the package homepage
_ for helpful hints relating to downloading
and installing pyDOE.
The latest, bleeding-edge but working code <https://github.com/tisimst/pyDOE/tree/master/pyDOE>
and documentation source <https://github.com/tisimst/pyDOE/tree/master/doc/>
are
available on GitHub <https://github.com/tisimst/pyDOE/>
_.
Any feedback, questions, bug reports, or success stores should
be sent to the author
_. I'd love to hear from you!
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:
This package is provided under two licenses:
Factorial designs
_Plackett-Burman designs
_Box-Behnken designs
_Central composite designs
_Latin-Hypercube designs
_.. _author: mailto:tisimst@gmail.com .. _Factorial designs: http://en.wikipedia.org/wiki/Factorial_experiment .. _Box-Behnken designs: http://en.wikipedia.org/wiki/Box-Behnken_design .. _Central composite designs: http://en.wikipedia.org/wiki/Central_composite_design .. _Plackett-Burman designs: http://en.wikipedia.org/wiki/Plackett-Burman_design .. _Latin-Hypercube designs: http://en.wikipedia.org/wiki/Latin_hypercube_sampling .. _package homepage: http://pythonhosted.org/pyDOE .. _lhs documentation: http://pythonhosted.org/pyDOE/randomized.html#latin-hypercube