Imputation Methods
==================

This page documents the five imputation methods available in mice-py.

PMM: Predictive Mean Matching
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.. automodule:: imputation.PMM
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CART: Classification and Regression Trees
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.. automodule:: imputation.cart
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Random Forest
-------------

.. automodule:: imputation.rf
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MIDAS: Distance Aided Substitution
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.. automodule:: imputation.midas
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Sample: Random Sampling
-----------------------

.. automodule:: imputation.sample
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See Also
--------

- :doc:`../user_guide/imputation_methods` for practical guidance on choosing methods
- :doc:`../theory/method_details` for theoretical background
- :doc:`mice` for the main MICE class