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.
- Version0.1.7
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release12/15/2023
Team
Paul Rosenbaum
Insights
Last 30 days
This package has been downloaded 137 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
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Last 365 days
This package has been downloaded 1,708 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 24, 2024 with 20 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports2 packages