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) ) 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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.7 by Rachael C. Aikens, 6 months ago

Report a bug at

Browse source code at

Authors: Rachael C. Aikens [aut, cre] , Joseph Rigdon [aut] , Justin Lee [aut] , Michael Baiocchi [aut] , Jonathan Chen [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports dplyr, Hmisc, magrittr, rlang, survival

Suggests knitr, optmatch, rmarkdown, testthat, glmnet, randomForest

See at CRAN