tightenBlock: Tightens an Observational Block Design by Balanced Subset Matching

Tightens an observational block design into a smaller design with either smaller or fewer blocks while controlling for covariates. The method uses fine balance, optimal subset matching (Rosenbaum, 2012 <doi:10.1198/jcgs.2011.09219>) and two-criteria matching (Zhang et al 2023 <doi:10.1080/01621459.2021.1981337>). The main function is tighten(). The suggested 'rrelaxiv' package for solving minimum cost flow problems: (i) derives from Bertsekas and Tseng (1988) <doi:10.1007/BF02288322>, (ii) is not available on CRAN due to its academic license, (iii) may be downloaded from GitHub at <https://github.com/josherrickson/rrelaxiv/>, (iv) is not essential to use the package.

Version: 0.1.7
Depends: R (≥ 3.5.0)
Imports: stats, MASS, rcbalance
Suggests: rrelaxiv
Published: 2023-12-15
DOI: 10.32614/CRAN.package.tightenBlock
Author: Paul Rosenbaum [aut, cre]
Maintainer: Paul Rosenbaum <rosenbaum at wharton.upenn.edu>
License: GPL-2
NeedsCompilation: no
Additional_repositories: https://errickson.net/rrelaxiv/
CRAN checks: tightenBlock results


Reference manual: tightenBlock.pdf


Package source: tightenBlock_0.1.7.tar.gz
Windows binaries: r-devel: tightenBlock_0.1.7.zip, r-release: tightenBlock_0.1.7.zip, r-oldrel: tightenBlock_0.1.7.zip
macOS binaries: r-release (arm64): tightenBlock_0.1.7.tgz, r-oldrel (arm64): tightenBlock_0.1.7.tgz, r-release (x86_64): tightenBlock_0.1.7.tgz, r-oldrel (x86_64): tightenBlock_0.1.7.tgz


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