forked from tisimst/pyDOE
-
Notifications
You must be signed in to change notification settings - Fork 0
Design of experiments for Python
License
grantstephens/pyDOE
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
===================================================== ``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 <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/>`_. 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/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
About
Design of experiments for Python
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Python 100.0%