A set of tools for determining the necessary sample size in order to identify the optimal dynamic treatment regime in a sequential, multiple assignment, randomized trial (SMART). Utilizes multiple comparisons with the best methodology to adjust for multiple comparisons. Designed for an arbitrary SMART design. Please see Artman (2018) <10.1093/biostatistics/kxy064> for more details. The basic functionality of this R package has been implemented in a Shiny app <https://wilart.shinyapps.io/smartsizer-power-sample-size/>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.4.0) |
| Imports: | MASS (≥ 7.3-47) |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2019-11-22 |
| Author: | William Artman [aut, cre] |
| Maintainer: | William Artman <William_Artman at URMC.Rochester.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | smartsizer results |
| Reference manual: | smartsizer.pdf |
| Vignettes: |
my-vignette |
| Package source: | smartsizer_1.0.2.tar.gz |
| Windows binaries: | r-devel: smartsizer_1.0.2.zip, r-release: smartsizer_1.0.2.zip, r-oldrel: smartsizer_1.0.2.zip |
| macOS binaries: | r-release: smartsizer_1.0.2.tgz, r-oldrel: smartsizer_1.0.2.tgz |
| Old sources: | smartsizer archive |
Please use the canonical form https://CRAN.R-project.org/package=smartsizer to link to this page.