Academic project examining the utility of using Random Forest models for multiple imputation with chained equations in political science.
- helper.py: Extra user-defined functions to help with some of the calculations done in the paper.
- helper.R: Extra user-defined functions to help with some of the calculations done in the paper.
- dcr_rf_imputation_draft_spring_2023.qmd: Compile this file to replicate the paper.
- For full replication of the paper, change the yaml meta data option params.reproduce to "true" instead of false.
- Warning: This will be really computationally intensive.
- For full replication of the paper, change the yaml meta data option params.reproduce to "true" instead of false.
- ols.stan: stan model used to fit regressions in paper to measure bias.
- ols.rds: stored stan object.
- extensions/: useful partials for the formatting of the manuscript.
- archived/: older drafts
- dcr_rf_imputation_fall_2022.pdf: older draft
- dcr_rf_imputation_draft_spring_2023.qmd: current draft
- renv/: produced with
renv::snapshot(). Documents packages used in project, their dependencies, and the versions for all of that. - .venv/: produced with
poetry. Documents python packages used in the project, their dependencies, and the versions for all of that. - *.lock: documents environment information for renv and .venv
- .tomal: documents system information for .venv
- .Rprofile: requires a loading of the renv information upon R start up in this working directory
- .gitattributes: a file that helps sort out repository code language composition
- .gitignore: do not submit the following files and directories to github.