Regression Discontinuity Tree

Lightweight Tkinter app for running a regression discontinuity tree (RDT) analysis on an Excel sheet. Pick a running variable and outcome column, then the app fits a decision tree, finds an optimal cutoff, runs basic stats, and plots the results.

Requirements

• Python 3.x with GUI support (Tkinter)
• Packages: pandas, numpy, matplotlib, scikit-learn, scipy

Install deps:

pip install pandas numpy matplotlib scikit-learn scipy

Usage

1. Place your data in an .xls/.xlsx file with at least a running variable, an outcome variable, and an optional GrpTrain column for coloring points.
2. Run the app:

python RDD_Test_V6.py

3. In the window, choose the Excel file, select the X (running) and Y (outcome) columns, then click Run RDT Analysis. Choose the cutoff method (auto or manual) when prompted. Enter a training group name to color the final bar plot.

What you get

• Scatter plot with regression line and tree-derived cutoff
• Visualized decision tree
• Cross-validated MSE and bootstrap CI for the fitted tree
• Mann–Whitney, t-test, permutation test, and a bar plot comparing means across the cutoff