Welcome to ADD MALTS!

ADD MALTS stands for "Analyzing Distributional Data via Matching After Learning to Stretch" and -- as the name suggests -- is a method for estimating causal effects from distributional data. pyaddmalts is a python implementation of the method. This repository contains files necessary to replicate results found in the paper (Katta et al, 2024).

Files

To replicate results from Figure 2 of the paper, please run all files titled cate_[method name]_experiments.py
To replicate results from Figure 3 of the paper, please run positivity_experiments.py
To replicate the real data analysis, please see the real_data_analysis.ipynb notebook

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
cgm_analysis		cgm_analysis
README.md		README.md
addmalts.py		addmalts.py
ate_variance_estimation.py		ate_variance_estimation.py
cate_addmalts_experiments.py		cate_addmalts_experiments.py
cate_dr_linps_normal_experiments.py		cate_dr_linps_normal_experiments.py
cate_dr_rfps_normal_experiments.py		cate_dr_rfps_normal_experiments.py
cate_evaluation.py		cate_evaluation.py
cate_frf_experiments.py		cate_frf_experiments.py
cate_ftree_experiments.py		cate_ftree_experiments.py
cate_lin_psmatch_experiments.py		cate_lin_psmatch_experiments.py
cate_lin_reg_experiments.py		cate_lin_reg_experiments.py
cate_rf_psmatch_experiments.py		cate_rf_psmatch_experiments.py
dist_cov_sim_dgp_generate_data.py		dist_cov_sim_dgp_generate_data.py
main_paper_figs.py		main_paper_figs.py
normal_sim_dgp_generate_data.py		normal_sim_dgp_generate_data.py
positivity_experiments.py		positivity_experiments.py
pyaddmalts.py		pyaddmalts.py
real_data_analysis.ipynb		real_data_analysis.ipynb
slurm_main_paper_exps.sh		slurm_main_paper_exps.sh
util.py		util.py
wasserstein_trees.py		wasserstein_trees.py

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