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iTOS  

Methods and Examples from Introduction to the Theory of Observational Studies
View on CRAN: Click here


Download and install iTOS package within the R console
Install from CRAN:
install.packages("iTOS")

Install from Github:
library("remotes")
install_github("cran/iTOS")

Install by package version:
library("remotes")
install_version("iTOS", "1.0.3")



Attach the package and use:
library("iTOS")
Maintained by
Paul R. Rosenbaum
[Scholar Profile | Author Map]
First Published: 2024-09-05
Latest Update: 2024-09-05
Description:
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'.
How to cite:
Paul R. Rosenbaum (2024). iTOS: Methods and Examples from Introduction to the Theory of Observational Studies. R package version 1.0.3, https://cran.r-project.org/web/packages/iTOS. Accessed 03 May. 2025.
Previous versions and publish date:
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Complete documentation for iTOS
Functions, R codes and Examples using the iTOS R package
Full iTOS package functions and examples
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