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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) <doi:10.1093/biostatistics/kxy064> for more details.

Version: 1.0.3
Depends: R (≥ 3.4.0)
Imports: MASS (≥ 7.3-47)
Suggests: knitr, rmarkdown, testthat
Published: 2021-01-06
DOI: 10.32614/CRAN.package.smartsizer
Author: William Artman [aut, cre]
Maintainer: William Artman <William_Artman at URMC.Rochester.edu>
License: GPL-3
NeedsCompilation: no
In views: CausalInference
CRAN checks: smartsizer results

Documentation:

Reference manual: smartsizer.pdf
Vignettes: my-vignette

Downloads:

Package source: smartsizer_1.0.3.tar.gz
Windows binaries: r-devel: smartsizer_1.0.3.zip, r-release: smartsizer_1.0.3.zip, r-oldrel: smartsizer_1.0.3.zip
macOS binaries: r-release (arm64): smartsizer_1.0.3.tgz, r-oldrel (arm64): smartsizer_1.0.3.tgz, r-release (x86_64): smartsizer_1.0.3.tgz, r-oldrel (x86_64): smartsizer_1.0.3.tgz
Old sources: smartsizer archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=smartsizer to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.