Metadata-Version: 2.1
Name: pystoned
Version: 0.4.2
Summary: A Package for Stochastic Nonparametric Envelopment of Data (StoNED) in Python
Home-page: https://github.com/ds2010/pyStoNED
Author: Sheng Dai, Timo Kuosmanen, Chia-Yen Lee, Yu-Hsueh Fang
Author-email: sheng.dai@aalto.fi
License: GPLv3
Download-URL: https://pypi.org/project/pystoned/
Description: # pyStoNED [![Documentation Status](https://readthedocs.org/projects/pystoned/badge/?version=latest)](https://pystoned.readthedocs.io/en/latest/?badge=latest)
        
        `pyStoNED` is a Python package that provides functions for estimating Convex Nonparametric Least Square (CNLS), Stochastic Nonparametric Envelopment of Data (StoNED), and other various StoNED-related variants (e.g., CQR, ICNLS). It allows the user to estimate the CNLS/StoNED models in an open-access environment rather than in commercial software, e.g., GAMS, MATLAB. The `pyStoNED` package is built based on the [PYOMO](http://www.pyomo.org/). 
        
        # Installation
        
        The [`pyStoNED`](https://pypi.org/project/pystoned/) package is now avaiable on PyPI and the latest development version can be installed from the Github repository [`pyStoNED`](https://github.com/ds2010/pyStoNED). Please feel free to download and test it. We welcome any bug reports and feedback.
        
        #### PyPI [![PyPI version](https://img.shields.io/pypi/v/pystoned.svg?maxAge=3600)](https://pypi.org/project/pystoned/) [![Downloads](https://pepy.tech/badge/pystoned)](https://pepy.tech/project/pystoned)[![PyPI downloads](https://img.shields.io/pypi/dm/pystoned.svg?maxAge=21600)](https://pypistats.org/packages/pystoned)
        
            pip install pystoned
        
        #### GitHub
        
            pip install -U git+https://github.com/ds2010/pyStoNED
        
        # Documentation
        
        A number of Jupyter Notebooks are provided in the [Documentation](https://pystoned.readthedocs.io/en/latest/) website, and more detailed technical reports are currently under development.
        
        # Authors
        
         + [Sheng Dai](https://www.researchgate.net/profile/Sheng_Dai8), Ph.D. candidate, Aalto University School of Business.
         + [Yu-Hsueh Fang](https://github.com/JulianATA), Computer Engineer, Institute of Manufacturing Information and Systems, National Cheng Kung University.
         + [Chia-Yen Lee](http://polab.im.ntu.edu.tw/), Professor, College of Management, National Taiwan University.
         + [Timo Kuosmanen](https://www.researchgate.net/profile/Timo_Kuosmanen), Professor, Aalto University School of Business.
        
        # Citation
        
        If you use [pyStoNED](https://pypi.org/project/pystoned/) for published work, we encourage you to cite our [papers and upcoming techinical report](https://pystoned.readthedocs.io/en/latest/citing/index.html). We appreciate it.
        
Keywords: StoNED,CNLS,CER,CQR,Z-variables,CNLSG
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
