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rsmart  

Sequential Multiple Assignment Randomized Trials Design and Analyses
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rsmart", "0.1.0")



Attach the package and use:
library("rsmart")
Maintained by
Cole Manschot
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-24
Latest Update: 2026-09-24
Description:
Implements the interim augmented inverse probability weighted estimator (IAIPWE) for estimating the value of treatment regimes embedded in sequential multiple assignment randomized trials (SMARTs). The IAIPWE subsumes both the inverse probability weighted estimator (IPWE) and the augmented inverse probability weighted estimator (AIPWE), enabling inference at interim and final analyses. The package provides functions for value estimation, sandwich variance computation, group sequential stopping boundaries, and sample size determination for multi-stage SMARTs with up to two treatment options at each stage. See Manschot, Laber, and Davidian (2023) <doi:10.1111/biom.13854> for additional details.
How to cite:
Cole Manschot (2026). rsmart: Sequential Multiple Assignment Randomized Trials Design and Analyses. R package version 0.1.0, https://cran.r-project.org/web/packages/rsmart. Accessed 24 Oct. 2026.
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