Metadata-Version: 2.1
Name: CFEDemands
Version: 0.6.1
Summary: Tools for estimating and computing Constant Frisch Elasticity (CFE) demands.
Home-page: https://bitbucket.org/ligonresearch/cfedemands
Author-email: ligon@berkeley.edu
License: Creative Commons Attribution-Noncommercial-ShareAlike 4.0 International license
Description-Content-Type: text/plain
License-File: LICENSE.txt
Requires-Dist: ConsumerDemands >=0.3.dev0
Requires-Dist: dvc >=2.18.1
Requires-Dist: joblib >=1.1.0
Requires-Dist: matplotlib >=3.5.1
Requires-Dist: numpy >=1.21.5
Requires-Dist: pandas >=1.4.2
Requires-Dist: pytest >=7.1.1
Requires-Dist: ray >=2.0.0
Requires-Dist: scipy >=1.7.3
Requires-Dist: statsmodels >=0.13.2
Requires-Dist: xarray >=0.20.1


=========================================
Constant Frisch Elasticity Demand Systems
=========================================

This repository contains code for working with Constant Frisch
Elasticity (CFE) demand systems.  

INSTALLATION
============

The preferred installation method involves using ``pip``.  If you don't
have this  installed (or if your install is old), see
https://pip.pypa.io/en/stable/installing/
  
  1. With pip::

        pip install CFEDemands

  2. As a python package: Unzip/untar the relevant archive (which can
     be downloaded from https://pypi.python.org/pypi/CFEDemands/), then::

        cd CFEDemands-[version]/
        sudo python setup.py install

  3. Using git: Clone the repository found at
     https://bitbucket.org/ligonresearch/cfedemands to someplace in
     your filesystem, e.g. (for user jrandom, on a machine with user
     directories under /home/)::

        git clone git@bitbucket.org:ligonresearch/cfedemands.git /home/jrandom/CFEDemands



   




  
