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: 0.2.3
Depends: R (≥ 3.5.0), EnvStats (≥ 2.4.0)
Imports: bayestestR (≥ 0.11.0), condMVNorm (≥ 2020.1), cubature (≥ 2.0.4.1), 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: 2023-07-19
Author: Sidi Wang [aut], Kelley Kidwell [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa at umich.edu>
BugReports: https://github.com/sidiwang/snSMART/issues
License: GPL-2
URL: https://github.com/sidiwang/snSMART
NeedsCompilation: no
SystemRequirements: JAGS 4.x.y
Materials: README
CRAN checks: snSMART results

Documentation:

Reference manual: snSMART.pdf

Downloads:

Package source: snSMART_0.2.3.tar.gz
Windows binaries: r-devel: snSMART_0.2.3.zip, r-release: snSMART_0.2.3.zip, r-oldrel: snSMART_0.2.3.zip
macOS binaries: r-release (arm64): snSMART_0.2.3.tgz, r-oldrel (arm64): snSMART_0.2.3.tgz, r-release (x86_64): snSMART_0.2.3.tgz
Old sources: snSMART archive

Linking:

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