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 (≥ 2.44.1.1)
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 gmail.com>
BugReports:	https://github.com/raikens1/stratamatch/issues
License:	GPL-3
URL:	https://github.com/raikens1/stratamatch
NeedsCompilation:	no
Citation:	stratamatch citation info
In views:	CausalInference
CRAN checks:	stratamatch results

Documentation:

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

Downloads:

Package source:	stratamatch_0.1.9.tar.gz
Windows binaries:	r-devel: stratamatch_0.1.9.zip, r-release: stratamatch_0.1.9.zip, r-oldrel: stratamatch_0.1.9.zip
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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