snSMART: Small N Sequential Multiple Assignment Randomized Trial Methods

Consolidated data simulation, sample size calculation and analysis functions for several snSMART (small sample sequential, multiple assignment, randomized trial) designs under one library. See Wei, B., Braun, T.M., Tamura, R.N. and Kidwell, K.M. "A Bayesian analysis of small n sequential multiple assignment randomized trials (snSMARTs)." (2018) Statistics in medicine, 37(26), pp.3723-3732 <doi:10.1002/sim.7900>.

Version: 0.2.2
Depends: R (≥ 3.5.0)
Imports: bayestestR (≥ 0.11.0), condMVNorm (≥ 2020.1), cubature (≥, EnvStats (≥ 2.4.0), geepack (≥ 1.3-1), HDInterval (≥ 0.2.0), pracma (≥ 2.3.3), rjags (≥ 4-12), tidyr (≥ 1.1.2), truncdist (≥ 1.0-1)
Suggests: coda (≥ 0.19-2)
Published: 2022-11-16
Author: Sidi Wang [aut], Kelley Kidwell [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa at>
License: GPL-2
NeedsCompilation: no
SystemRequirements: JAGS 4.x.y
Materials: README
CRAN checks: snSMART results


Reference manual: snSMART.pdf


Package source: snSMART_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
macOS binaries: r-release (arm64): snSMART_0.2.2.tgz, r-oldrel (arm64): snSMART_0.2.2.tgz, r-release (x86_64): snSMART_0.2.2.tgz, r-oldrel (x86_64): snSMART_0.2.2.tgz
Old sources: snSMART archive


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