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-4.5)smartsizer_1.0.3.zip(r-4.4)smartsizer_1.0.3.zip(r-4.3)
smartsizer_1.0.3.tgz(r-4.4-any)smartsizer_1.0.3.tgz(r-4.3-any)
smartsizer_1.0.3.tar.gz(r-4.5-noble)smartsizer_1.0.3.tar.gz(r-4.4-noble)
smartsizer_1.0.3.tgz(r-4.4-emscripten)smartsizer_1.0.3.tgz(r-4.3-emscripten)
smartsizer.pdf |smartsizer.html
smartsizer/json (API)

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

Peer review:

On CRAN:

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 193 downloads 1 mentions 4 exports 1 dependencies

Last updated 4 years agofrom:985af5ca55. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:computePowercomputePowerBySampleSizecomputeSampleSizeplotPowerByN

Dependencies:MASS

Using the smartsizer Package

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon Nov 13 2024.

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