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) and 'bingeM' from Rosenbaum (2023b) . The function makematch() uses two-criteria matching from Zhang et al. (2023) to create the matched data 'bingeM' from 'binge'. The makematch() function also implements optimal matching (Rosenbaum (1989) ) and matching with fine or near-fine balance (Rosenbaum et al. (2007) and Yang et al (2012) ). The book makes use of two other R packages, 'weightedRank' and 'tightenBlock'.


Reference manual

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install.packages("iTOS")

1.0.3 by Paul R. Rosenbaum, 2 years ago


Browse source code at https://github.com/cran/iTOS


Authors: Paul R. Rosenbaum [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Imports stats, MASS, rcbalance, BiasedUrn, xtable

Suggests weightedRank


Imported by aamatch, observationalBlocks.

Suggested by alcoholSurv.


See at CRAN