Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Sean Kent [aut, cre, cph] (<https://orcid.org/0000-0001-8697-9069>), Mitchell Paukner [aut, cph] (<https://orcid.org/0000-0003-3839-5311>) |
| Maintainer | Sean Kent <skent259@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.1 |
| URL | https://skent259.github.io/rsmatch/ https://github.com/skent259/rsmatch |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the rsmatch package in your browser
Any scripts or data that you put into this service are public.
