Package: iTOS 1.0.3
Paul R. Rosenbaum
iTOS: Methods and Examples from Introduction to the Theory of Observational Studies
Supplements for a book, "iTOS" = "Introduction to the Theory of Observational Studies." Data sets are 'aHDL' from Rosenbaum (2023a) <doi:10.1111/biom.13558> and 'bingeM' from Rosenbaum (2023b) <doi:10.1111/biom.13921>. The function makematch() uses two-criteria matching from Zhang et al. (2023) <doi:10.1080/01621459.2021.1981337> to create the matched data 'bingeM' from 'binge'. The makematch() function also implements optimal matching (Rosenbaum (1989) <doi:10.2307/2290079>) and matching with fine or near-fine balance (Rosenbaum et al. (2007) <doi:10.1198/016214506000001059> and Yang et al (2012) <doi:10.1111/j.1541-0420.2011.01691.x>). The book makes use of two other R packages, 'weightedRank' and 'tightenBlock'.
Authors:
iTOS_1.0.3.tar.gz
iTOS_1.0.3.tar.gz(r-4.5-noble)iTOS_1.0.3.tar.gz(r-4.4-noble)
iTOS_1.0.3.tgz(r-4.4-emscripten)iTOS_1.0.3.tgz(r-4.3-emscripten)
iTOS.pdf |iTOS.html✨
iTOS/json (API)
| # Install 'iTOS' in R: |
| install.packages('iTOS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:6fa95a032f. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-linux | OK | Nov 05 2024 |
Exports:addcaliperaddintegeraddMahaladdNearExactaddquantileamplifycomputepevevalBalevallgconvmakematchmakenetworknoetherstartcostzeta
