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pyDOE 0.2.1
Design of experiments for Python

INSTALL>
pypm install pydoe

How to install pyDOE

  1. Download and install ActivePython
  2. Open Command Prompt
  3. Type pypm install pydoe
 Python 2.7Python 3.2Python 3.3
Windows (32-bit)
Windows (64-bit)
Mac OS X (10.5+)
Linux (32-bit)
Linux (64-bit)
0.2.1 Available View build log
 
Links
Author
License
BSD License
Dependencies
Imports
Lastest release
version 0.2.1 on Jan 9th, 2014

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
    1. General Full-Factorial (fullfact)
    2. 2-level Full-Factorial (ff2n)
    3. 2-level Fractional Factorial (fracfact)
    4. Plackett-Burman (pbdesign)
  • Response-Surface Designs
    1. Box-Behnken (bbdesign)
    2. Central-Composite (ccdesign)
  • Randomized Designs
    1. Latin-Hypercube (lhs)

The following are in the works (probably), so stay tuned!

  1. Split-plot designs
  2. Incomplete block designs
  3. D-Optimal designs

See the package homepage for details on usage and other notes

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!

License

This package is provided under two licenses:

  1. The BSD License
  2. Any other that the author approves (just ask!)

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Last updated Jan 9th, 2014

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