Package: tightenBlock 0.1.7
Paul Rosenbaum
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.
Authors:
tightenBlock_0.1.7.tar.gz
tightenBlock_0.1.7.tar.gz(r-4.5-noble)tightenBlock_0.1.7.tar.gz(r-4.4-noble)
tightenBlock_0.1.7.tgz(r-4.4-emscripten)tightenBlock_0.1.7.tgz(r-4.3-emscripten)
tightenBlock.pdf |tightenBlock.html✨
tightenBlock/json (API)
| # Install 'tightenBlock' in R: |
| install.packages('tightenBlock', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- aHDLt - Alcohol and HDL Cholesterol
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:3e699d5a04. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 10 2024 |
| R-4.5-linux | OK | Dec 10 2024 |
Exports:addMahaladdNearExactmakematchmakenetworkstartcosttighten
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Tightens an Observational Block Design by Balanced Subset Matching | tightenBlock-package tightenBlock |
| Rank-Based Mahalanobis Distance Matrix | addMahal |
| Add a Near-exact Penalty to an Exisiting Distance Matrix. | addNearExact |
| Alcohol and HDL Cholesterol | aHDLt |
| Make a Match Using Two Criteria Matching with Optimal Subset Matching | makematch |
| Make the Network Used for Matching with Two Criteria | makenetwork |
| Initialize a Distance Matrix. | startcost |
| Tightening an Observational Block Design | tighten |