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README.md

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pyDOE3: An experimental design package for python
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=================================================
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[![Tests](https://github.com/relf/pyDOE3/actions/workflows/tests.yml/badge.svg)](https://github.com/relf/pyDOE3/actions/workflows/tests.yml)
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[![Documentation](https://readthedocs.org/projects/pydoe3/badge/?version=latest)](https://pydoe3.readthedocs.io/en/latest/?badge=latest)
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pyDOE3: An experimental design package for python
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=====================================================
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`pyDOE3` is a fork of the [`pyDOE2`](https://github.com/clicumu/pyDOE2) package
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that is designed to help the scientist, engineer, statistician, etc., to
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`pyDOE3` is a fork of the [`pyDOE2`](https://github.com/clicumu/pyDOE2) package
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that is designed to help the scientist, engineer, statistician, etc., to
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construct appropriate experimental designs.
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This fork came to life to solve bugs and issues that remained unsolved in the
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original package.
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Capabilities
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------------
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The package currently includes functions for creating designs for any
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The package currently includes functions for creating designs for any
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number of factors:
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- Factorial Designs
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- General Full-Factorial (``fullfact``)
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- 2-level Full-Factorial (``ff2n``)
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- 2-level Fractional Factorial (``fracfact``)
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- Plackett-Burman (``pbdesign``)
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- Generalized Subset Designs (``gsd``)
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- Response-Surface Designs
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- Box-Behnken (``bbdesign``)
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- Central-Composite (``ccdesign``)
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- General Full-Factorial (``fullfact``)
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- 2-level Full-Factorial (``ff2n``)
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- 2-level Fractional Factorial (``fracfact``)
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- Plackett-Burman (``pbdesign``)
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- Generalized Subset Designs (``gsd``)
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- Response-Surface Designs
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- Box-Behnken (``bbdesign``)
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- Central-Composite (``ccdesign``)
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- Randomized Designs
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- Latin-Hypercube (``lhs``)
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- Latin-Hypercube (``lhs``)
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See [Documentation](https://pydoe3.readthedocs.io).
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- NumPy
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- SciPy
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Installation
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------------
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```
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```bash
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pip install pyDOE3
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```
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Credits
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-------
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`pyDOE` original code was originally converted from code by the following
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`pyDOE` original code was originally converted from code by the following
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individuals for use with Scilab:
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- Copyright (C) 2012 - 2013 - Michael Baudin
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- Copyright (C) 2012 - Maria Christopoulou
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- Copyright (C) 2010 - 2011 - INRIA - Michael Baudin
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- Copyright (c) 2014, Abraham D. Lee & timsimst
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The following individuals forked and work on `pyDOE2`:
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The following individuals forked and worked on `pyDOE2`:
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- Copyright (C) 2018 - Rickard Sjögren and Daniel Svensson
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License
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-------
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- Surowiec, Izabella, Ludvig Vikström, Gustaf Hector, Erik Johansson,
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Conny Vikström, and Johan Trygg. “Generalized Subset Designs in Analytical
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Chemistry.” Analytical Chemistry 89, no. 12 (June 20, 2017): 6491–97.
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https://doi.org/10.1021/acs.analchem.7b00506.
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<https://doi.org/10.1021/acs.analchem.7b00506>.

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