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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'.
Getting started
Browse package contents
Package details |
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| Author | Paul R. Rosenbaum [aut, cre] |
| Maintainer | Paul R. Rosenbaum <rosenbaum@wharton.upenn.edu> |
| License | GPL-2 |
| Version | 1.0.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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