Metadata-Version: 2.1
Name: gerrymetrics
Version: 0.1.3
Summary: Lots of metrics for quantifying gerrymandering
Home-page: https://github.com/PrincetonUniversity/gerrymandertests
Author: Princeton Gerrymandering Project
Author-email: wtadler@princeton.edu
License: GNU General Public License v3.0
Platform: UNKNOWN
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: tqdm

Code for running 16 different metrics for measuring partisan gerrymandering, including:

- Mean-median difference and variant:
   - Mean-median difference
   - Equal vote weight
- Lopsided margins (two-sample _t_-test on win margins)
- Bootstrap (Monte Carlo) simulation
- Declination variants
   - Declination
   - Declination (buffered)
   - Declination variant
   - Declination variant (buffered)
- Efficiency gap variants
   - Efficiency gap
   - Difference gap
   - Loss gap
   - Surplus gap
   - Vote-centric gap
   - Vote-centric gap 2
   - Tau gap
- Partisan bias


