rsmatch: Matching Methods for Time-Varying Observational Studies
Implements popular methods for matching in time-varying observational studies. Matching is difficult in this scenario because participants can be treated at different times which may have an influence on the outcomes. The core methods include: "Balanced Risk Set Matching" from Li, Propert, and Rosenbaum (2011) <doi:10.1198/016214501753208573> and "Propensity Score Matching with Time-Dependent Covariates" from Lu (2005) <doi:10.1111/j.1541-0420.2005.00356.x>. Some functions use the 'Gurobi' optimization back-end to improve the optimization problem speed; the 'gurobi' R package and associated software can be downloaded from <https://www.gurobi.com> after obtaining a license.
| Version: | 0.2.1 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr,MASS,Matrix, stats |
| Suggests: | gurobi,knitr,nbpMatching,Rglpk,rlang,rmarkdown,survival,testthat |
| Published: | 2024-02-20 |
| DOI: | 10.32614/CRAN.package.rsmatch |
| Author: | Sean Kent [aut, cre, cph], Mitchell Paukner [aut, cph] |
| Maintainer: | Sean Kent <skent259 at gmail.com> |
| BugReports: | https://github.com/skent259/rsmatch/issues |
| License: | MIT + fileLICENSE |
| URL: | https://skent259.github.io/rsmatch/,https://github.com/skent259/rsmatch |
| NeedsCompilation: | no |
| Citation: | rsmatch citation info |
| Materials: | README,NEWS |
| CRAN checks: | rsmatch results |
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