Metadata-Version: 2.1
Name: py4etrics
Version: 0.1.7
Summary: A package for py4etrics.github.io
Home-page: https://github.com/Py4Etrics/py4etrics
Author: Tetsu HARUYAMA
Author-email: haruyama@econ.kobe-u.ac.jp
License: MIT
Description: [![PyPI version fury.io](https://badge.fury.io/py/py4etrics.svg)](https://pypi.python.org/pypi/py4etrics/)
        [![CodeQL](https://github.com/Py4Etrics/py4etrics/actions/workflows/codeql-analysis.yml/badge.svg)](https://github.com/Py4Etrics/py4etrics/actions?query=workflow%codeql-analysis)
        [![Downloads](https://static.pepy.tech/personalized-badge/py4etrics?period=total&units=international_system&left_color=grey&right_color=orange&left_text=Downloads)](https://pepy.tech/project/py4etrics)
        
        # What Is This Module For
        
        This module is for
        * Truncated Regression
        * Tobit Model
        * Heckit Model
        
        [Pythonで学ぶ入門計量経済学](https://py4etrics.github.io/) explains how to use it in Japanese. 
        Or click its [Google translated version in English](https://translate.google.com/translate?sl=ja&tl=en&u=https%3A%2F%2Fpy4etrics.github.io). 
        
        # How to Use
        ```
        import py4etrics 
        ```
        
        # How to Install
        ```
        pip install py4etrics
        ```
        or
        ```
        pip install git+https://github.com/spring-haru/py4etrics.git
        ```
        or
        ```
        git clone https://github.com/spring-haru/py4etrics.git
        cd py4etrics
        pip install .
        ```
        
        # Thanks
        The code is heavily inspired by [statsmodels](https://www.statsmodels.org/stable/index.html).
        
Keywords: Truncated Regression,Tobit Model,Heckit Model
Platform: UNKNOWN
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Description-Content-Type: text/markdown
