observationalBlocks: Block Designs for Observational Studies

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.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	iTOS, lpSolve, stats
Suggests:	DOS2, sensitivity2x2xk, sensitivitymv, weightedRank, xtable, testthat (≥ 3.0.0)
Published:	2026-04-10
DOI:	10.32614/CRAN.package.observationalBlocks (may not be active yet)
Author:	Katherine Brumberg [aut, cre], Paul Rosenbaum [aut]
Maintainer:	Katherine Brumberg <kbrum at umich.edu>
License:	GPL-2
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	observationalBlocks results

Documentation:

Reference manual:

observationalBlocks.html , observationalBlocks.pdf

Downloads:

Package source:	observationalBlocks_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): observationalBlocks_1.0.0.tgz, r-oldrel (x86_64): observationalBlocks_1.0.0.tgz

Linking:

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