Skip to main content

A Python package for causal methods in observational studies

Project description

observational-learn

Causal Inference methods for Observational Studies in Python.

This is a simple example package. You can use GitHub-flavored Markdown to write your content.

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

observational_learn-0.0.7.tar.gz (2.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

observational_learn-0.0.7-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file observational_learn-0.0.7.tar.gz.

File metadata

  • Download URL: observational_learn-0.0.7.tar.gz
  • Upload date:
  • Size: 2.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for observational_learn-0.0.7.tar.gz
Algorithm Hash digest
SHA256 9b09f047039833311124adf7c60bc71f4230cb09fe9d80fa0ff5d96b678d8004
MD5 0be7cadcf45a19c68b4286958981cfa2
BLAKE2b-256 99e1427cb91bd24ab472e9a439dfc8e3474e637192abf5a6b065f2bd4b1be956

See more details on using hashes here.

File details

Details for the file observational_learn-0.0.7-py3-none-any.whl.

File metadata

File hashes

Hashes for observational_learn-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 63174b1f64620b2150d30ab065d7787aee93954b74344168a47a4372b22249cb
MD5 c2e942c3cc10bc091520cd775bcd2b97
BLAKE2b-256 aff77cac7322c27cd3aabe8424b9840f4b93dc4b14089148e4d3ee8aae4784c1

See more details on using hashes here.

Supported by

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