Small N Sequential Multiple Assignment Randomized Trial Methods R package snSMART version 0.2.4 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>. Software 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), testthat (>= 3.0.0) Michael Kleinsasser <mkleinsa@umich.edu> Comprehensive R Archive Network (CRAN) Sidi Wang [aut], Kelley Kidwell [aut], Michael Kleinsasser [cre] GPL (>= 2) 2024-10-16 application/tgz https://CRAN.R-project.org/package=snSMART doi:10.32614/CRAN.package.snSMART