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+ pyDOE3: An experimental design package for python
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+ =================================================
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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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-
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- pyDOE3: An experimental design package for python
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- =====================================================
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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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-
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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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@@ -39,21 +37,19 @@ Requirements
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- NumPy
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- SciPy
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-
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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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-
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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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-
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+
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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
@@ -66,11 +62,10 @@ individuals for use with Scilab:
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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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-
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License
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-------
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@@ -87,4 +82,4 @@ References
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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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