c(
person("Ze", "Jin", role = c("aut"),
email = "zj58@cornell.edu"),
person("Wang", "Liao", role = c("aut"),
email = "wl483@cornell.edu"),
person("Irena", "Papst", role = c("aut"),
email = "ip98@cornell.edu"),
person("Wenyu", "Zhang", role = c("aut"),
email = "wz258@cornell.edu"),
person("Kimberly", "Hochstedler", role = c("aut"),
email = "kah343@cornell.edu"),
person("Felix", "Thoemmes", role = c("aut", "cre"),
email = "fjt36@cornell.edu")
)
Ze Jin [aut],
Wang Liao [aut],
Irena Papst [aut],
Wenyu Zhang [aut],
Kimberly Hochstedler [aut],
Felix Thoemmes [aut, cre]

Companion Datasets and Functions for Blair, Coppock, and
Humphreys (2022) "Research Design: Declare, Diagnose, Redesign"
c(person("Graeme", "Blair", email = "graeme.blair@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9164-2102")),
person("Alexander", "Coppock", email = "acoppock@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0002-5733-2386")),
person("Macartan", "Humphreys", email = "macartan@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0001-7029-2326")))
Helper functions to accompany the Blair, Coppock, and Humphreys (2022) "Research Design: Declare, Diagnose, Redesign" <https://book.declaredesign.org>. 'rdddr' includes datasets, helper functions, and plotting components to enable use and replication of the book.
dplyr, rlang (>= 1.0.0), generics, ggplot2, tibble, tidyr,
dataverse, readr, prediction, broom, purrr, fabricatr,
estimatr, randomizr, DeclareDesign
testthat (>= 3.0.0), rdrobust, DIDmultiplegt, broom.mixed,
grf, CausalQueries, metafor, cjoint, lme4, rstanarm, spdep
Graeme Blair [aut, cre] (<https://orcid.org/0000-0001-9164-2102>),
Alexander Coppock [aut] (<https://orcid.org/0000-0002-5733-2386>),
Macartan Humphreys [aut] (<https://orcid.org/0000-0001-7029-2326>)

Manipulation Testing Based on Density Discontinuity
Density discontinuity test (a.k.a. manipulation test) is commonly employed in regression discontinuity designs and other treatment effect settings to detect whether there is evidence suggesting perfect self-selection (manipulation) around a cutoff where a treatment/policy assignment changes. This package provides tools for conducting the aforementioned statistical test: rddensity() to construct local polynomial based density discontinuity test given a prespecified cutoff, and rdbwdensity() to perform bandwidth selection.