Metadata-Version: 2.1
Name: targeted
Version: 0.0.26
Summary: Python package for targeted inference.
Home-page: https://targetlib.org/python/
Author: Klaus Kähler Holst
Author-email: klaus.holst@maersk.com
License: Apache Software License
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/.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: C++
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
