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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=stratamatch to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4