Skip to main content

The Discrete Voter Model for ecological inference.

Project description

The Discrete Voter Model

The Discrete Voter Model is a method of ecological inference that grew out of Hakeem Angulu's undergraduate thesis for the departments of Computer Science and Statistics at Harvard College.

This new method of solving the ecological inference problem, using a mixture of contemporary statistical computing techniques, is implemented here. It can be used for multiple racial groups and candidates, and is shown to work well on randomly-generated mock election data.

The requirements can be installed with the included Pipfile. Go here or here for more information on how to use Pipenv.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dvm-1.0.0.tar.gz (13.9 kB view hashes)

Uploaded Source

Built Distribution

dvm-1.0.0-py3-none-any.whl (18.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page