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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

  • 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.
  • 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.

Drafts

  • archived/: older drafts
  • dcr_rf_imputation_fall_2022.pdf: older draft
  • dcr_rf_imputation_draft_spring_2023.qmd: current draft

renv and .venv

  • 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

Other stuff

  • .gitattributes: a file that helps sort out repository code language composition
  • .gitignore: do not submit the following files and directories to github.

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ML and MICE imputation in PSCI

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