Stratification and Matching for Large Observational Data Sets R package stratamatch version 0.1.9 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) A pilot matching design to automatically stratify and match large datasets. The manual_stratify() function allows users to manually stratify a dataset based on categorical variables of interest, while the auto_stratify() function does automatically by allocating a held-aside (pilot) data set, fitting a prognostic score (see Hansen (2008) <doi:10.1093/biomet/asn004>) on the pilot set, and stratifying the data set based on prognostic score quantiles. The strata_match() function then does optimal matching of the data set in parallel within strata. Software Depends: R (>= 3.4.0) Imports: dplyr (>= 0.8.3), Hmisc (>= 4.2-0), magrittr (>= 1.5), rlang (>= 0.4.0), survival(>= 2.44.1.1) Suggests: knitr, optmatch (>= 0.9-11), rmarkdown, testthat (>= 2.1.0), glmnet (>= 4.0), randomForest (>= 4.6-14) Rachael C. Aikens <rockyaikens@gmail.com> Comprehensive R Archive Network (CRAN) Rachael C. Aikens [aut, cre], Joseph Rigdon [aut], Justin Lee [aut], Michael Baiocchi [aut], Jonathan Chen [aut] GPL-3 2022-03-31 application/tgz https://CRAN.R-project.org/package=stratamatch doi:10.32614/CRAN.package.stratamatch