Package: LRErdd
Type: Package
Title: Regression Discontinuity Designs as Local Randomized Experiments
Version: 0.1.0
Authors@R: c(person("Ibon", "Tamayo", email = "itamuria@gmail.com", role = c("aut", "cre")),
             person("Alessandra", "Mattei", email = "alessandra.mattei@unifi.it", role = c("aut")),
             person("Fabrizia", "Mealli", email = "fabrizia.mealli@unifi.it", role = c("aut")),
             person("Marie-Abele", "Bind", email = "ma.bind@mail.harvard.edu", role = c("aut")))
Description: A set of functions for the design and analysis of
        Regression Discontinuity Designs as local randomized
        experiments within the potential outcome approach as formalized
        in Li, Mattei and Mealli (2015) <doi:10.1214/15-AOAS809>. A
        subset of functions implements the design phase of the study,
        where the focus is on the selection of suitable subpopulations
        for which valid causal inference can be drawn. These functions
        provide summary statistics of pre- and post-treatment variables
        by treatment status and select suitable subpopulations around
        the threshold where pre-treatment variables are well balanced
        between treatment groups, using randomization-based tests with
        adjustment for multiplicities. Functions for a visual
        inspection of the results are also provided. Finally, the
        package includes a set of functions for drawing inference on
        causal effects for the selected subpopulations using
        randomization-based modes of inference. Specifically, the
        Fisher Exact p-value and Neyman approaches are implemented for
        the analysis of both sharp and fuzzy Regression Discontinuity
        designs. The approach is illustrated in a study concerning the
        effects of university grants on student dropout.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: ggplot2, cowplot, gtools, R6, shiny, stats
Suggests: knitr, rmarkdown, bslib, shinycssloaders, DT, openxlsx,
        testthat (>= 3.0.0)
VignetteBuilder: knitr
RoxygenNote: 7.3.1
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-06 10:23:22 UTC; root
Author: Ibon Tamayo [aut, cre], Alessandra Mattei [aut], Fabrizia
        Mealli [aut], Marie-Abele Bind [aut]
Maintainer: Ibon Tamayo <itamuria@gmail.com>
Config/pak/sysreqs: cmake make libuv1-dev zlib1g-dev
Repository: https://itamuria.r-universe.dev
Date/Publication: 2026-08-06 10:20:08 UTC
RemoteUrl: https://github.com/cran/LRErdd
RemoteRef: HEAD
RemoteSha: 33c94af105467d72eb5b1bb5aef1588a3c970420