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.">

rsmatch: Matching Methods for Time-Varying Observational Studies (original) (raw)

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
BugReports: https://github.com/skent259/rsmatch/issues
License: MIT + file
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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