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 |
| Author: | Katherine Brumberg
|
| Maintainer: | Katherine Brumberg <kbrum at umich.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | observationalBlocks results |
| Reference manual: | observationalBlocks.html , observationalBlocks.pdf |
| Package source: | observationalBlocks_1.0.0.tar.gz |
| Windows binaries: | r-devel: observationalBlocks_1.0.0.zip, r-release: observationalBlocks_1.0.0.zip, r-oldrel: observationalBlocks_1.0.0.zip |
| macOS binaries: | r-release (arm64): observationalBlocks_1.0.0.tgz, r-oldrel (arm64): observationalBlocks_1.0.0.tgz, r-release (x86_64): observationalBlocks_1.0.0.tgz, r-oldrel (x86_64): observationalBlocks_1.0.0.tgz |
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