c(person("Thomas", "Brand", role = c("aut"),
email = "thomas.brand@cepremap.org"),
person("Sebastien", "Galais", role = c("cre", "ctb"),
email = "Sebastien.GALAIS@banque-france.fr"))
R access to hundreds of millions data series from DBnomics API (<https://db.nomics.world/>).
knitr, rmarkdown, dplyr, magrittr, ggplot2, DT, testthat
Thomas Brand [aut],
Sebastien Galais [cre, ctb]

R access to hundreds of millions data series from DBnomics API
(<https://db.nomics.world/>).

c(person("Thomas", "Brand", role = c("aut"),
email = "thomas.brand@cepremap.org"),
person("Sebastien", "Galais", role = c("cre", "ctb"),
email = "s915.stem@gmail.com"))

c(person("Sebastien", "Galais", role = c("cre", "ctb"),
email = "s915.stem@gmail.com"),
person("Thomas", "Brand", role = c("aut"),
email = "thomas.brand@cepremap.org"))
Sebastien Galais [cre, ctb],
Thomas Brand [aut]

This package provides the tools to undertake estimation in
Regression Discontinuity Designs. Both sharp and fuzzy designs
are supported. Estimation is accomplished using local linear
regression. A provided function will utilize
Imbens-Kalyanaraman optimal bandwidth calculation. A function
is also included to test the assumption of no-sorting effects.
'rdd-package.R' 'DCdensity.R' 'IKbandwidth.R' 'kernelwts.R'
'RDestimate.R' 'plot.RD.R' 'summary.RD.R'

This package provides the tools to undertake estimation in
Regression Discontinuity Designs. Both sharp and fuzzy designs
are supported. Estimation is accomplished using local linear
regression.  A provided function will utilize
Imbens-Kalyanaraman optimal bandwidth calculation. A function
is also included to test the assumption of no-sorting effects.
'kernelwts.R' 'DCdensity.R' 'IKbandwidth.R' 'RDestimate.R'
'plot.RD.R' 'summary.RD.R' 'rdd-package.R' 'print.RD.R'

This package provides the tools to undertake estimation in
Regression Discontinuity Designs. Both sharp and fuzzy designs are
supported. Estimation is accomplished using local linear regression.
A provided function will utilize Imbens-Kalyanaraman optimal
bandwidth calculation. A function is also included to test the
assumption of no-sorting effects.
R (>= 2.15.0), sandwich, lmtest, AER, Formula