Metadata-Version: 2.1
Name: pystoned
Version: 0.2.4
Summary: A Package for Stochastic Nonparametric Envelopment of Data (StoNED) in Python
Home-page: https://github.com/ds2010/StoNED-Python
Author: Sheng Dai, Timo Kuosmanen
Author-email: sheng.dai@aalto.fi, timo.kuosmanen@aalto.fi
License: MIT
Download-URL: https://pypi.org/project/pystoned/
Description: # StoNED-Python
        
        `StoNED-Python` project provides the python codes for estimating Convex Nonparametric Least Square (`CNLS`), Stochastic Nonparametric Envelopment of Data (`StoNED`), and other different `StoNED`-related variants. 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 `StoNED-Python` project is built based on the [PYOMO](http://www.pyomo.org/). 
        
        # Authors
         + [Timo Kuosmanen](https://people.aalto.fi/timo.kuosmanen), Professor, Aalto University School of Business.
         + [Sheng Dai](https://www.researchgate.net/profile/Sheng_Dai8), Ph.D. candidate, Aalto University School of Business.
        
        # To do list
        - [x]  `CNLS`/`StoNED`
           - [x] variables returns to scale (`VRS`) model
           - [x] constant returns to scale (`CRS`) model
           - [x] Additive composite error term
           - [x] Multiplicative composite error term
           - [x] Residuals decomposition by method of moments(`MoM`) 
           - [x] Residuals decomposition by quasi-likelihood estimation(`QLE`)
           - [ ] Residuals decomposition by nonparametric kernel deconvolution (`NKD`)
        - [x] `StoNEZD` (contextual variables)
        - [x] Convex quantile regression (`CQR`)
        - [x] Convex expectile regression (`CER`)
        - [x] Isotonic CNLS (`ICNLS`)
        - [ ] Isotonic convex quantile regression (`ICQR`)
        - [ ] Isotonic convex expectile regression (`ICER`)
        - [x] Corrected convex nonparametric least squares (C<sup>2</sup>NLS)
        - [x] `StoNED` with multiple outputs
        - [ ] Representation of `StoNED`-related frontier/quantile function
           - [ ] one input and one output
           - [ ] two inputs and one output 
           - [ ] three inputs and one output 
        
        # Change log
        
        ## [0.2.4] - 2020-04-30
        
        ### Changed
        - Extend functions: `qlle()`, `stoned()`
        
        ## [0.2.3] - 2020-04-27
        
        ### Added
        - `cnlsddfb()`
        - `directVb()`
        
        ### Changed
        - Update functions: `cnlsddf()`, `directV()`
        
        ## [0.2.2] - 2020-04-26
        
        ### Added
        - `cnlsddf()`
        - `directV()`
        
        ### Changed
        - Update functions: `cnls()`, `ceqr()`, `cnlsz()`, `icnls()`
        
        
        ## [0.2.1] - 2020-04-23
        
        ### Added
        - `icnls()`
        - `bimatp()`
        
        ### Changed
        - Update REDAME.md
        - Update all previous functions
        
        ## [0.2.0] - 2020-04-19
        
        ### Added
        - `ccnls()`
        - `ccnls2()`
        - `cnlsz()`
        
        ### Changed
        - Update REDAME.md
        - Update function `cqer()`
        
        ## [0.0.7] - 2020-04-18
        
        ### Changed
        - Update function `cnls()`
        
        ## [0.0.6] - 2020-04-17
        
        ### Added
        - README.md
        - LICENSE.txt
        - HISTORY.md
        
        ## [0.0.2] - 2020-04-17
        
        ### Added
        - `cqer()`
        - `qllf()`
        
        ## [0.0.1] - 2020-04-01
        
        ### Added
        - `stoned()`
        - `cnls()`
Keywords: StoNED,CNLS,CER,CQR,Z-variables
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
