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 |
DOI: |
10.32614/CRAN.package.snSMART |
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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=snSMART
to link to this page.