Package: smartsizer 1.0.3

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.

Authors:William Artman [aut, cre]

smartsizer_1.0.3.tar.gz
smartsizer_1.0.3.zip(r-4.7)smartsizer_1.0.3.zip(r-4.6)smartsizer_1.0.3.zip(r-4.5)
smartsizer_1.0.3.tgz(r-4.6-any)smartsizer_1.0.3.tgz(r-4.5-any)
smartsizer_1.0.3.tar.gz(r-4.7-any)smartsizer_1.0.3.tar.gz(r-4.6-any)
smartsizer_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
smartsizer/json (API)

# Install 'smartsizer' in R:
install.packages('smartsizer', repos = c('https://wilart.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 6 scripts 244 downloads 1 mentions 4 exports 1 dependencies

Last updated from:985af5ca55. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK173
linux-release-x86_64OK118
macos-release-arm64OK164
macos-oldrel-arm64OK170
windows-develOK87
windows-releaseOK81
windows-oldrelOK69
wasm-releaseOK104

Exports:computePowercomputePowerBySampleSizecomputeSampleSizeplotPowerByN

Dependencies:MASS

Using the smartsizer Package

William J Artman

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon May 10 2026.

Last update: 2021-01-06
Started: 2019-11-22