Package: rdrobust 2.2

Sebastian Calonico

rdrobust: Robust Data-Driven Statistical Inference in Regression-Discontinuity Designs

Regression-discontinuity (RD) designs are quasi-experimental research designs popular in social, behavioral and natural sciences. The RD design is usually employed to study the (local) causal effect of a treatment, intervention or policy. This package provides tools for data-driven graphical and analytical statistical inference in RD designs: rdrobust() to construct local-polynomial point estimators and robust confidence intervals for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD settings, rdbwselect() to perform bandwidth selection for the different procedures implemented, and rdplot() to conduct exploratory data analysis (RD plots).

Authors:Sebastian Calonico <[email protected]>, Matias D. Cattaneo <[email protected]>, Max H. Farrell <[email protected]>, Rocio Titiunik <[email protected]>

rdrobust_2.2.tar.gz
rdrobust_2.2.tar.gz(r-4.5-noble)rdrobust_2.2.tar.gz(r-4.4-noble)
rdrobust_2.2.tgz(r-4.4-emscripten)rdrobust_2.2.tgz(r-4.3-emscripten)
rdrobust.pdf |rdrobust.html
rdrobust/json (API)

# Install 'rdrobust' in R:
install.packages('rdrobust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5.72 score 4 stars 4 packages 670 scripts 4.0k downloads 4 mentions 4 exports 28 dependencies

Last updated 1 years agofrom:f39b746c70. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 19 2024
R-4.5-linuxOKDec 19 2024

Exports:rdbwselectrdbwselect_2014rdplotrdrobust

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr