Metadata-Version: 1.1
Name: doe
Version: 0.1.2
Summary: A simple library for design of experiments and analysis in Python
Home-page: https://github.com/pawanaichra/doe
Author: Pawan Aichra
Author-email: aichrapawan@gmail.com
License: MIT
Description: # Design of Experiments and Analysis
        This python library gives you the power to do analysis of experiments easily and quickly.
        
        ## Getting Started
        ### Prerequisites
        ```
        Python 3.7
        ```
        ### Installing
        ```
        pip install doe
        ```
        ### How to use
        ```
        >>> import doe
        >>> model = doe.crd("data.csv")
        >>> model.print()
        ```
        And you are done.
        
        ## TO-DO
         - [x] Completely Randomized Design
         - [ ] Randomized Complete Block Design
         - [ ] Randomized Complete Block Design with missing values
         - [ ] Latin Square Design
         - [ ] Graeco-Latin Square Design
         - [ ] Balanced Incomplete Block Design
         - [ ] Factorial Designs
         - [ ] Tests
        
        ## License
        
        This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
        
Keywords: DOE,design of experiments,experimental design,analysis of experiments,crd rcbd latin square
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
