Skip to main content

Tools for producing sweights using classic methods or custom orthogonal weight functions (COWs) and for correcting covariance matrices for weighted data fits.

Project description

sweights

pip install sweights

We provide a few tools for projecting component weights ("sweights") for a control variable(s) using a discriminating variable(s). For details please see Dembinski, Kenzie, Langenbruch, Schmelling - arXiv:2112.04574.

We also provide tools for correcting the covariance matrix of fits to weighted data. For details please see Dembinski, Kenzie, Langenbruch, Schmelling - arXiv:2112.04574 (Sec IV) and Langenbruch - arXiv:1911.01303.

Documentation

Please head over to sweights.readthedocs.io for the latest documentation.

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

sweights-1.0.0.tar.gz (14.1 kB view hashes)

Uploaded Source

Built Distribution

sweights-1.0.0-py3-none-any.whl (15.1 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