Skip to main content

formulaic-contrasts

Tests Documentation codecov.io

Build arbitrary contrasts for models defined with formulaic.

Getting started

Please refer to the documentation. As a developer seeking to use formulaic-contrasts with your model, you'll find the API documentation and the tutorial Usage in custom model useful. If you are a user who wants to understand how to build contrasts for a model, the building contrasts tutorial is for you!

Installation

Typically, you don't install formulaic-contrasts directly, but obtain it as a dependency of another model. As a developer, you can obtain it from PyPI or GitHub:

There are several alternative options to install formulaic-contrasts:

  1. Install the latest release of formulaic-contrasts from PyPI:
pip install formulaic-contrasts
  1. Install the latest development version:
pip install git+https://github.com/scverse/formulaic-contrasts.git@main

Formulaic-contrasts depends on Python 3.10 or later.

Release notes

See the changelog.

Contact

For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.

Credits

The cond() function for building contrasts has been devised by @const-ae for his R package glmGamPoi. A prototype of the Python implementation has been built at the scverse hackathon in Cambridge, UK in Nov 2023 by @grst, @const-ae and @BorisMuzellec. The production version in this package has been implemented by @grst.

Metadata

Release files for formulaic-contrasts 1.0.0

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

Source distribution (sdist)

Source distribution for formulaic-contrasts 1.0.0
File Size Uploaded
formulaic_contrasts-1.0.0.tar.gz 123.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for formulaic-contrasts 1.0.0
File Interpreter ABI Platform
formulaic_contrasts-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 133.8 kB

Release files / formulaic_contrasts-1.0.0.tar.gz

Download URL formulaic_contrasts-1.0.0.tar.gz
Size 123.8 kB
Tags Source
SHA-256 checksum
How to use checksums
0a575a810bf1fba28938259d86a3ae2ae90cb9826fca84b9409085170862f701
BLAKE2b-256 checksum
How to use checksums
28e64850976c248746062cfaa08628b3ec5ba3dfcab3d6ecd0d3886c36c04681
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.0.1 CPython/3.12.8

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 15, 2024.

Transparency log

Release files / formulaic_contrasts-1.0.0-py3-none-any.whl

Download URL formulaic_contrasts-1.0.0-py3-none-any.whl
Size 10.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
e1220d315cf446bdec9385375ca4da43896e4ba68114ebea1b2a37efa5d097f5
BLAKE2b-256 checksum
How to use checksums
407b639411281256c84e8111bf6cb9676c44dbf5d8ad4cb042f4359b7e7b9e74
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.0.1 CPython/3.12.8

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Dec 15, 2024.

Transparency log

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page