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: 0.2.0
Depends: R (≥ 2.10)
Imports: dplyr, MASS, Matrix, stats
Suggests: gurobi, knitr, nbpMatching, Rglpk, rlang, rmarkdown, survival, testthat
Published: 2023-06-29
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://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_0.2.0.tar.gz
Windows binaries: r-devel: rsmatch_0.2.0.zip, r-release: rsmatch_0.2.0.zip, r-oldrel: rsmatch_0.2.0.zip
macOS binaries: r-release (arm64): rsmatch_0.2.0.tgz, r-oldrel (arm64): rsmatch_0.2.0.tgz, r-release (x86_64): rsmatch_0.2.0.tgz

Linking:

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