smartsizer: Power Analysis for a SMART Design

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

Downloads:

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

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