A library for multiple imputation of censored data
Example Notebook and API and documentation are available here
A library for multiple imputation of censored data.
This software performs multiple imputation on censored data using the probabilistic programming langauge Stan. The library fits a distributions to censored data and produces imputations based on the results.
How to use:
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.Consider preprocessing using a power transform such as sklearn.reprocessing.power_transform before applying the algorithm.
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