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 + 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:
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