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:
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-4.5-any)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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:985af5ca55. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 11 2025 |
| R-4.5-win | OK | Feb 11 2025 |
| R-4.5-mac | OK | Feb 11 2025 |
| R-4.5-linux | OK | Feb 11 2025 |
| R-4.4-win | OK | Feb 11 2025 |
| R-4.4-mac | OK | Feb 11 2025 |
| R-4.3-win | OK | Feb 11 2025 |
| R-4.3-mac | OK | Feb 11 2025 |
Exports:computePowercomputePowerBySampleSizecomputeSampleSizeplotPowerByN
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute the Power in a SMART | computePower |
| Compute the Power Over a Grid of Sample Size Values | computePowerBySampleSize |
| Compute the Sample Size for a SMART. | computeSampleSize |
| Plot Power by Sample Size | plotPowerByN |
| smartsizer: A package for Sizing SMART Designs | smartsizer-package smartsizer |
