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rsmatch  

Matching Methods for Time-Varying Observational Studies
View on CRAN: Click here


Download and install rsmatch package within the R console
Install from CRAN:
install.packages("rsmatch")

Install from Github:
library("remotes")
install_github("cran/rsmatch")

Install by package version:
library("remotes")
install_version("rsmatch", "0.2.1")



Attach the package and use:
library("rsmatch")
Maintained by
Sean Kent
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-29
Latest Update: 2024-02-20
Description:
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) and "Propensity Score Matching with Time-Dependent Covariates" from Lu (2005) . 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 after obtaining a license.
How to cite:
Sean Kent (2023). rsmatch: Matching Methods for Time-Varying Observational Studies. R package version 0.2.1, https://cran.r-project.org/web/packages/rsmatch. Accessed 30 Jan. 2025.
Previous versions and publish date:
0.2.0 (2023-06-29 16:40)
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View rsmatch citation profile
Other R packages that rsmatch depends, imports, suggests or enhances
Complete documentation for rsmatch
Functions, R codes and Examples using the rsmatch R package
Some associated functions: brsmatch . coxpsmatch . oasis . 
Some associated R codes: brsmatch.R . coxpsmatch.R . data.R . globals.R . utils.R .  Full rsmatch package functions and examples
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