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observationalBlocks  

Block Designs for Observational Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("observationalBlocks", "1.0.0")



Attach the package and use:
library("observationalBlocks")
Maintained by
Katherine Brumberg
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-10
Latest Update: 2026-04-10
Description:
Creates block designs of fixed size J with at least one treated and control unit per block. Blocks larger than pairs better distinguish effects caused by a treatment from unmeasured confounding in assignment of individuals to treatment. Somewhat counterintuitively, blocks larger than pairs can use more units while attaining better covariate balance and block homogeneity. A forthcoming manuscript by Brumberg and Rosenbaum details the design.
How to cite:
Katherine Brumberg (2026). observationalBlocks: Block Designs for Observational Studies. R package version 1.0.0, https://cran.r-project.org/web/packages/observationalBlocks. Accessed 21 Aug. 2026.
Previous versions and publish date:
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Complete documentation for observationalBlocks
Functions, R codes and Examples using the observationalBlocks R package
Full observationalBlocks package functions and examples
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