rdrobust: Local Polynomial Methods for Regression Discontinuity Design

• Point estimation, standard and robust inference, bandwidth selection.
• Data-driven RD plots.
• Implementation in R, Stata, and Python.

rdlocrand: Local Randomization Methods for Regression Discontinuity Designs

• Exact finite-sample and randomization-based inference.
• Window selection, sensitivity and falsification.
• Implementation in R and Stata.

rdmulti: Multiple Cutoffs and Multiple Score in Regression Discontinuity Designs

• Point estimation, standard and robust inference, bandwidth selection.
• Data-driven RD plots.
• Implementation in R and Stata.

rdpower: Power Calculations for Regression Discontinuity Designs

• Computes power for sampling design using local polynomial robust inference in RD designs.
• Implementation in R and Stata.

scpi: Synthetic Control Prediction Intervals.

• Estimation and inference procedures for synthetic control methods.
• Implementation in R, Stata, and Python.

Balance Tests Graphs

• Balance test figure with both summary statistics and p-values.
• Implementation in R.