Skip to main content

Produces critical values for value-added learning scores proposed in Smith and Wagner (2018) through Monte Carlo simulations.

Project description

The author of this package has not provided a project description

Project details


Download files

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

Files for SmithWagnerCV, version 0.0.3
Filename, size File type Python version Upload date Hashes
Filename, size SmithWagnerCV-0.0.3.tar.gz (2.7 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page