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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.1 |
rolling linux/jammy R-4.5 | rsmatch_0.2.1.tar.gz |
69.3 KiB |
0.2.1 |
rolling linux/noble R-4.5 | rsmatch_0.2.1.tar.gz |
69.2 KiB |
0.2.1 |
rolling source/ R- | rsmatch_0.2.1.tar.gz |
35.5 KiB |
0.2.1 |
latest linux/jammy R-4.5 | rsmatch_0.2.1.tar.gz |
69.3 KiB |
0.2.1 |
latest linux/noble R-4.5 | rsmatch_0.2.1.tar.gz |
69.2 KiB |
0.2.1 |
latest source/ R- | rsmatch_0.2.1.tar.gz |
35.5 KiB |
0.2.1 |
2026-04-26 source/ R- | rsmatch_0.2.1.tar.gz |
35.5 KiB |
0.2.1 |
2026-04-23 source/ R- | rsmatch_0.2.1.tar.gz |
35.5 KiB |
0.2.1 |
2026-04-09 windows/windows R-4.5 | rsmatch_0.2.1.zip |
74.9 KiB |
0.2.1 |
2025-04-20 source/ R- | rsmatch_0.2.1.tar.gz |
35.5 KiB |