rsmart: Sequential Multiple Assignment Randomized Trials Design and Analyses

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.

Version:	0.1.0
Depends:	R (≥ 3.5)
Imports:	data.table, doFuture, foreach, Matrix, MASS, modelObj, mvtnorm, stats
Suggests:	dplyr, knitr, pkgdown, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-09-24
DOI:	10.32614/CRAN.package.rsmart (may not be active yet)
Author:	Cole Manschot [aut, cre], Tabitha Peter [ctb], Gabriela Piasecki [ctb], Laura Frederick [ctb]
Maintainer:	Cole Manschot <cole.manschot at msd.com>
BugReports:	https://github.com/MSDLLCpapers/rsmart/issues
License:	GPL (≥ 3)
URL:	https://MSDLLCpapers.github.io/rsmart/, https://github.com/MSDLLCpapers/rsmart, https://msdllcpapers.github.io/rsmart/
NeedsCompilation:	no
Materials:	README
CRAN checks:	rsmart results

Documentation:

Reference manual:	rsmart.html , rsmart.pdf
Vignettes:	Full demo of IAIPWE (source, R code) pkg_architecture (source, R code) Simulating SMART designs with sim_treatment (source, R code) Getting Started with SMARTs (source, R code)

Downloads:

Package source:	rsmart_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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