The regression discontinuity (RD) design is a popular quasi-experimental design
for causal inference and policy evaluation. The 'rdpower' package provides tools
to perform power, sample size and MDE calculations in RD designs: rdpower() calculates
the power of an RD design, rdsampsi() calculates the required sample size to achieve
a desired power and rdmde() calculates minimum detectable effects. This package relies on the rdrobust package. See Calonico, Cattaneo and Titiunik (2014, 2015) and
Calonico, Cattaneo, Farrell and Titiunik (2017).
For more details, and related Stata and R packages
useful for analysis of RD designs, visit https://rdpackages.github.io/.
Calonico, S., M. D. Cattaneo, M. Farrell and R. Titiunik. (2017). rdrobust: Software for Regression Discontinuity Designs. Stata Journal 17(2): 372-404.
Calonico, S., M. D. Cattaneo, and R. Titiunik. (2014). Robust Data-Driven Inference in the Regression-Discontinuity Design. Stata Journal 14(4): 909-946.
Calonico, S., M. D. Cattaneo, and R. Titiunik. (2015). rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs. R Journal 7(1): 38-51.
Cattaneo, M. D., R. Titiunik and G. Vazquez-Bare. (2019). Power Calculations for Regression Discontinuity Designs. Stata Journal, 19(1): 210-245.