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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/.

Release files for targeted 0.0.35

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

Source distribution (sdist)

Source distribution for targeted 0.0.35
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targeted-0.0.35.tar.gz 39.8 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for targeted 0.0.35
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targeted-0.0.35-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-64 Details
targeted-0.0.35-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl CPython 3.12 CPython 3.12 Linux glibc 2.17+ x86-32 Details
targeted-0.0.35-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
targeted-0.0.35-cp312-cp312-macosx_10_9_x86_64.whl CPython 3.12 CPython 3.12 macOS 10.9+ x86-64 Details
targeted-0.0.35-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-64 Details
targeted-0.0.35-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl CPython 3.11 CPython 3.11 Linux glibc 2.17+ x86-32 Details
targeted-0.0.35-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details
targeted-0.0.35-cp311-cp311-macosx_10_9_x86_64.whl CPython 3.11 CPython 3.11 macOS 10.9+ x86-64 Details
targeted-0.0.35-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-64 Details
targeted-0.0.35-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl CPython 3.10 CPython 3.10 Linux glibc 2.17+ x86-32 Details
targeted-0.0.35-cp310-cp310-macosx_11_0_arm64.whl CPython 3.10 CPython 3.10 macOS 11.0+ ARM64 Details
targeted-0.0.35-cp310-cp310-macosx_10_9_x86_64.whl CPython 3.10 CPython 3.10 macOS 10.9+ x86-64 Details
targeted-0.0.35-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details
targeted-0.0.35-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-32 Details
targeted-0.0.35-cp39-cp39-macosx_11_0_arm64.whl CPython 3.9 CPython 3.9 macOS 11.0+ ARM64 Details
targeted-0.0.35-cp39-cp39-macosx_10_9_x86_64.whl CPython 3.9 CPython 3.9 macOS 10.9+ x86-64 Details
targeted-0.0.35-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-64 Details
targeted-0.0.35-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl CPython 3.8 CPython 3.8 Linux glibc 2.17+ x86-32 Details
targeted-0.0.35-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details
targeted-0.0.35-cp38-cp38-macosx_10_9_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details
targeted-0.0.35-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 Details
targeted-0.0.35-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-32 Details
targeted-0.0.35-cp37-cp37m-macosx_10_9_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 Details

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