Changelog

rdpartial 0.1.0

Initial Release

• Initial implementation of partial identification bounds for regression discontinuity designs with possible manipulation of the running variable
• Implements methods described in Rosenman, Rajkumar, Gauriot & Slonim (2025) <arXiv:1910.02170>

Main Functions

• bounds_sharp(): Compute Manski-style bounds for sharp RDD designs
• bounds_fuzzy(): Compute bounds for fuzzy RDD designs with treatment take-up
• bootstrap_bounds(): Parametric bootstrap for confidence intervals around bounds
• simulate_rdd_data(): Generate synthetic RDD data with optional manipulation

Features

• Support for both sharp and fuzzy regression discontinuity designs
• Constrained optimization using CVXR for bound estimation
• Density estimation for detecting manipulation regions
• Bootstrap confidence intervals with parallel processing support
• Comprehensive input validation and error handling
• Extensive documentation with examples

Dependencies

• Core optimization: CVXR
• Graphics: ggplot2
• Statistical functions: splines, stats
• Parallel processing: parallel

License

• Released under GPL (>= 3)