Package: stratamatch
Type: Package
Date: 2022-03-30
Title: Stratification and Matching for Large Observational Data Sets
Version: 0.1.9
Authors@R: c(
           person("Rachael C.", "Aikens", email = "rockyaikens@gmail.com",
                  role = c("aut", "cre")),
           person("Joseph", "Rigdon",
                  role = c("aut")), 
           person("Justin", "Lee",
                  role = c("aut")),
           person("Michael", "Baiocchi", email = "baiocchi@stanford.edu",
                  role = c("aut")),
           person("Jonathan", "Chen", email = "jonc101@stanford.edu",
                  role = c("aut"))
           )
Maintainer: Rachael C. Aikens <rockyaikens@gmail.com>
BugReports: https://github.com/raikens1/stratamatch/issues
Description: 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 0.8.3), Hmisc (>= 4.2-0), magrittr (>= 1.5), rlang
        (>= 0.4.0), survival(>= 2.44.1.1)
Depends: R (>= 3.4.0)
Suggests: knitr, optmatch (>= 0.9-11), rmarkdown, testthat (>= 2.1.0),
        glmnet (>= 4.0), randomForest (>= 4.6-14)
URL: https://github.com/raikens1/stratamatch
RoxygenNote: 7.1.2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-03-31 00:19:08 UTC; rocky
Author: Rachael C. Aikens [aut, cre],
  Joseph Rigdon [aut],
  Justin Lee [aut],
  Michael Baiocchi [aut],
  Jonathan Chen [aut]
Repository: CRAN
Date/Publication: 2022-03-31 06:00:02 UTC
Built: R 4.6.0; ; 2026-04-30 04:27:42 UTC; unix
