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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
DOI: 10.32614/CRAN.package.rsmatch
Author: Sean Kent ORCID iD [aut, cre, cph], Mitchell Paukner ORCID iD [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:

Reference manual: rsmatch.pdf
Vignettes: Risk Set Matching with rsmatch

Downloads:

Package source: rsmatch_0.2.1.tar.gz
Windows binaries: r-devel: rsmatch_0.2.1.zip, r-release: rsmatch_0.2.1.zip, r-oldrel: rsmatch_0.2.1.zip
macOS binaries: r-release (arm64): rsmatch_0.2.1.tgz, r-oldrel (arm64): rsmatch_0.2.1.tgz, r-release (x86_64): rsmatch_0.2.1.tgz, r-oldrel (x86_64): rsmatch_0.2.1.tgz
Old sources: rsmatch archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rsmatch to link to this page.

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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