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:Paul R. Rosenbaum [aut, cre]

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'))

Peer review:

Datasets:
  • aHDL - Alcohol and HDL Cholesterol
  • binge - Binge Drinking and High Blood Pressure
  • bingeM - Binge Drinking and High Blood Pressure - Matched With Two Control Groups

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 143 downloads 16 exports 7 dependencies

Last updated 3 months agofrom:6fa95a032f. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 05 2024
R-4.5-linuxOKDec 05 2024

Exports:addcaliperaddintegeraddMahaladdNearExactaddquantileamplifycomputepevevalBalevallgconvmakematchmakenetworknoetherstartcostzeta

Dependencies:BiasedUrnMASSplyrrcbalanceRcpprlemonxtable