Package: rdrobust 4.1.1

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 [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut], Rocio Titiunik [aut]

rdrobust_4.1.1.tar.gz
rdrobust_4.1.1.zip(r-4.7-any)rdrobust_4.1.1.zip(r-4.6-any)rdrobust_4.1.1.zip(r-4.5-any)
rdrobust_4.1.1.tgz(r-4.6-any)rdrobust_4.1.1.tgz(r-4.5-any)
rdrobust_4.1.1.tar.gz(r-4.7-any)rdrobust_4.1.1.tar.gz(r-4.6-any)
rdrobust_4.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rdrobust/json (API)

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

Bug tracker:https://github.com/rdpackages/rdrobust/issues

Datasets:

On CRAN:

Conda:

7.17 score 4 stars 10 packages 2.0k scripts 7.9k downloads 4 mentions 3 exports 18 dependencies

Last updated from:4bbe6fa89b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK149
source / vignettesOK188
linux-releaseOK311
macos-releaseOK131
macos-oldrelOK134
windows-develOK98
windows-releaseOK98
windows-oldrelOK109
wasm-releaseOK90

Exports:rdbwselectrdplotrdrobust

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleMASSR6RColorBrewerrlangS7scalesvctrsviridisLitewithr