DamonCharlesRoberts / imputation-with-random-forests

Replication code for "Connecting Leaves to the Forest" academic project.

Replication Code: Connecting Leaves to the Forest

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Academic project examining the utility of using Random Forest models for multiple imputation with chained equations in political science.

Code

• anes_cleaning.py: Python script to clean the 2020 ANES for the Application section of the paper
• anes_imputation.R: R Script that performs the MI and RF-MICE imputation procedures on the 2020 ANES data.
• anes_models.R: R Script that performs the main models and t-tests using LWD, MI, and RF-MICE procedures on 2020 ANES data.
• introduce_mar.R: R Script that performs the amputation for the simulated data.
• simulated_imputation.R: R Script that performs the imputation procedures on the amputed simulated data.
• simulated_models.R: R Script that performs the main models and data exploration on the simulated data.
• simulation_data.R: R Script that generates the simulated data.