Metadata-Version: 1.2
Name: censor-fix
Version: 0.0.1
Summary: A library for multiple imputaion of censored data
Home-page: UNKNOWN
Author: Rowan Swiers
Author-email: rowan.swiers@astrazeneca.com
License: MIT
Description: ## CensorFix
        
        [![Documentation Status](https://readthedocs.org/projects/censor-fix/badge/?version=latest)](https://censor-fix.readthedocs.io/en/latest/?badge=latest)
        
        
        Please look at the website https://censor-fix.readthedocs.io/en/latest/
        
        
        A library for multiple imputation of censored data.
        
        This software performs multiple imputation on censored data using the probabilistic programming langauge (ppl) stan. 
        For 1d imputation the library can fits a distribution to data to create imputations. 
        
        For missing data with many features the library can model the censored values using the other features in a round robin fashion
        
        How to use:
        
        The data needs to be in a pandas dataframe and the columns that need imputing must be specified.
        The data is assumed to have a normal distribution unless stated otherwise but there are options for the data to be uniform,t distributed or exponential. To make the data more normal you can try using sklearn.reprocessing.power_transform to make the data normal. 
        
        
        
        
Platform: UNKNOWN
Requires-Python: >=3.5
