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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 |
| 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 + file LICENSE |
| URL: |
https://skent259.github.io/rsmatch/,
https://github.com/skent259/rsmatch |
| NeedsCompilation: |
no |
| Citation: |
rsmatch citation info |
| Materials: |
README NEWS |
| CRAN checks: |
rsmatch results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=rsmatch
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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