A very simple, inefficient implemention of Firth-penalized Logistic Regression for rare event data.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for daverblair from gravatar.com daverblair

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for daverblair from gravatar.com daverblair

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

This version

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

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

Source Distribution

pyfirth-0.0.6.tar.gz (7.1 kB view hashes)

Uploaded Source

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