stratamatch: Stratification and Matching for Large Observational Data Sets

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.

Version: 0.1.9
Depends: R (≥ 3.4.0)
Imports: dplyr (≥ 0.8.3), Hmisc (≥ 4.2-0), magrittr (≥ 1.5), rlang (≥ 0.4.0), survival (≥
Suggests: knitr, optmatch (≥ 0.9-11), rmarkdown, testthat (≥ 2.1.0), glmnet (≥ 4.0), randomForest (≥ 4.6-14)
Published: 2022-03-31
DOI: 10.32614/CRAN.package.stratamatch
Author: Rachael C. Aikens [aut, cre], Joseph Rigdon [aut], Justin Lee [aut], Michael Baiocchi [aut], Jonathan Chen [aut]
Maintainer: Rachael C. Aikens <rockyaikens at>
License: GPL-3
NeedsCompilation: no
Citation: stratamatch citation info
In views: CausalInference
CRAN checks: stratamatch results


Reference manual: stratamatch.pdf
Vignettes: Advanced_functionality
Introduction to stratamatch


Package source: stratamatch_0.1.9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): stratamatch_0.1.9.tgz, r-oldrel (arm64): stratamatch_0.1.9.tgz, r-release (x86_64): stratamatch_0.1.9.tgz, r-oldrel (x86_64): stratamatch_0.1.9.tgz
Old sources: stratamatch archive


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