Skip to main content

Python package for targeted inference.

Project description

Targeted Learning Library

Python package for targeted inference.

targeted provides a number of methods for semi-parametric estimation. The library also contains implementations of various parametric models (including different discrete choice models) and model diagnostics tools.

The implemention currently includes

  • Risk regression models with binary exposure (Richardson et al., 2017, doi:10.1080/01621459.2016.1192546)
  • Augmented Inverse Probability Weighted estimators for missing data and causal inference (Bang and Robins, 2005, doi:10.1111/j.1541-0420.2005.00377.x)
  • Model diagnostics based on cumulative residuals methods
  • Efficient weighted Pooled Adjacent Violator Algorithms
  • Nested multinomial logit models

Documentation and tutorials can be found at https://targetlib.org/python/.

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 targeted, version 0.0.30
Filename, size File type Python version Upload date Hashes
Filename, size targeted-0.0.30-cp310-cp310-macosx_10_9_x86_64.whl (289.0 kB) File type Wheel Python version cp310 Upload date Hashes View
Filename, size targeted-0.0.30-cp310-cp310-macosx_11_0_arm64.whl (289.0 kB) File type Wheel Python version cp310 Upload date Hashes View
Filename, size targeted-0.0.30-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (3.5 MB) File type Wheel Python version cp310 Upload date Hashes View
Filename, size targeted-0.0.30-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB) File type Wheel Python version cp310 Upload date Hashes View
Filename, size targeted-0.0.30-cp36-cp36m-macosx_10_9_x86_64.whl (287.2 kB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size targeted-0.0.30-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl (3.5 MB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size targeted-0.0.30-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB) File type Wheel Python version cp36 Upload date Hashes View
Filename, size targeted-0.0.30-cp37-cp37m-macosx_10_9_x86_64.whl (287.2 kB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size targeted-0.0.30-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (3.5 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size targeted-0.0.30-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB) File type Wheel Python version cp37 Upload date Hashes View
Filename, size targeted-0.0.30-cp38-cp38-macosx_10_9_x86_64.whl (289.1 kB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size targeted-0.0.30-cp38-cp38-macosx_11_0_arm64.whl (289.1 kB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size targeted-0.0.30-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (3.5 MB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size targeted-0.0.30-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB) File type Wheel Python version cp38 Upload date Hashes View
Filename, size targeted-0.0.30-cp39-cp39-macosx_10_9_x86_64.whl (289.1 kB) File type Wheel Python version cp39 Upload date Hashes View
Filename, size targeted-0.0.30-cp39-cp39-macosx_11_0_arm64.whl (289.1 kB) File type Wheel Python version cp39 Upload date Hashes View
Filename, size targeted-0.0.30-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (3.5 MB) File type Wheel Python version cp39 Upload date Hashes View
Filename, size targeted-0.0.30-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB) File type Wheel Python version cp39 Upload date Hashes View
Filename, size targeted-0.0.30.tar.gz (39.8 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page