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SpatialRDD  

Conduct Multiple Types of Geographic Regression Discontinuity Designs
View on CRAN: Click here


Download and install SpatialRDD package within the R console
Install from CRAN:
install.packages("SpatialRDD")

Install from Github:
library("remotes")
install_github("cran/SpatialRDD")

Install by package version:
library("remotes")
install_version("SpatialRDD", "0.1.0")



Attach the package and use:
library("SpatialRDD")
Maintained by
Alexander Lehner
[Scholar Profile | Author Map]
First Published: 2023-08-08
Latest Update: 2023-08-08
Description:
Spatial versions of Regression Discontinuity Designs (RDDs) are becoming increasingly popular as tools for causal inference. However, conducting state-of-the-art analyses often involves tedious and time-consuming steps. This package offers comprehensive functionalities for executing all required spatial and econometric tasks in a streamlined manner. Moreover, it equips researchers with tools for performing essential placebo and balancing checks comprehensively. The fact that researchers do not have to rely on 'APIs' of external 'GIS' software ensures replicability and raises the standard for spatial RDDs.
How to cite:
Alexander Lehner (2023). SpatialRDD: Conduct Multiple Types of Geographic Regression Discontinuity Designs. R package version 0.1.0, https://cran.r-project.org/web/packages/SpatialRDD. Accessed 01 May. 2025.
Previous versions and publish date:
No previous versions
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Complete documentation for SpatialRDD
Functions, R codes and Examples using the SpatialRDD R package
Full SpatialRDD package functions and examples
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