Package: rsmatch 0.2.1

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.

Authors:Sean Kent [aut, cre, cph], Mitchell Paukner [aut, cph]

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Bug tracker:https://github.com/skent259/rsmatch/issues

On CRAN:

causal-inferencelongitudinal-analysismatchingobservational-datatime-varying

2 exports 2 stars 1.10 score 19 dependencies 5 scripts 173 downloads

Last updated 7 months agofrom:6aa5b3b7c7. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:brsmatchcoxpsmatch

Dependencies:clidplyrfansigenericsgluelatticelifecyclemagrittrMASSMatrixpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr