Metadata-Version: 2.1
Name: imputena
Version: 1.0
Summary: Package that allows both automated and customized treatment of missing values in datasets using Python.
Home-page: http://github.com/macarro/imputena
Author: Miguel Macarro
Author-email: migmackle@alum.us.es
License: MIT
Description: 
        This package allows both automated and customized treatment of missing
        values in datasets using Python. The treatments that are implemented in this
        package are:
        
        * Listwise deletion
        * Pairwise deletion
        * Dropping variables
        * Random sample imputation
        * Random hot-deck imputation
        * LOCF
        * NOCB
        * Most frequent substitution
        * Mean and median substitution
        * Constant value imputation
        * Random value imputation
        * Interpolation
        * Interpolation with seasonal adjustment
        * Linear regression imputation
        * Stochastic regression imputation
        * Logistic regression imputation
        * K-nearest neighbors imputation
        * Sequential regression multiple imputation
        * Multiple imputation by chained equations
        
        All these treatments can be applied to whole datasets or parts of them and
         allow for extensive customization. The package can also recommend a
          treatment for a given dataset, inform about the treatments that are
           applicable to it, and automatically apply the best treatment.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Financial and Insurance Industry
Requires-Python: >=3.5
Description-Content-Type: text/markdown
