Imputations
========================

This package provides robust imputation methods including MICE, PMM, CART, and Random Forest for handling missing data in statistical analysis.

Main Class
--------------------------

MICE (Multiple Imputation by Chained Equations)
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.. automodule:: imputation.MICE
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Imputation Methods
------------------

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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Sample Method
~~~~~~~~~~~~~

.. automodule:: imputation.sample
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PMM (Predictive Mean Matching)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. automodule:: imputation.PMM
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MIDAS (Multiple Imputation by Distance Aided Donor Selection)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. automodule:: imputation.midas
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Utilities and Support
---------------------

Result Classes
~~~~~~~~~~~~~~

.. automodule:: imputation.mice_result
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Pooling Functions
~~~~~~~~~~~~~~~~~

.. automodule:: imputation.pooling
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Validation Functions
~~~~~~~~~~~~~~~~~~~~

.. automodule:: imputation.validators
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Configuration 
---------------------------

Logging Configuration
~~~~~~~~~~~~~~~~~~~~~

.. automodule:: imputation.logging_config
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