gerrymetrics

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

Metadata

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for gerrymetrics 0.1.3
File	Size	Uploaded
gerrymetrics-0.1.3.tar.gz	10.4 kB	Jan 14, 2019	Details

Table of built distributions (wheels) for gerrymetrics 0.1.3
File	Interpreter	ABI	Platform	Reset
gerrymetrics-0.1.3-py3-none-any.whl 10.2 kB Jan 14, 2019	Python 3	none	any	Details

Total release size: 20.6 kB

Download URL	gerrymetrics-0.1.3.tar.gz
Size	10.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`ba2f5fd290ae1f94f725bfcdf7baacb58035df20c8482e40fc4bd28f16f8d464`
BLAKE2b-256 checksum How to use checksums	`ab81bd74d9e286e6d61ebff0528f7d75f0f35e42a3d4237c50ebe98df929d29e`
Upload date	Jan 14, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.2`

Download URL	gerrymetrics-0.1.3-py3-none-any.whl
Size	10.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`82fb35dd72b6eb4fecc5456189158b8771752cd8365d273a9049ca5f70986505`
BLAKE2b-256 checksum How to use checksums	`c8f4482ea6f2b3dc0edea0db959fa124726952b6eb2dc81cba836c3adebc87f2`
Upload date	Jan 14, 2019
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.2`