Power Analysis for a SMART Design
Overview
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.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 5includes a package overview page
- Examples that run
- 0%3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 75%
- Documented parameters
- 100%
- Return-value docs
- 75%
- Help pages citing references
- 0%
- my-vignette HTML
Downloads
Dependencies
Installing smartsizer adds no packages beyond those that come with R.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0.3Latest
- RR 4.0.0 released · 2020-04-24
- 1.0.22019-11-22 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 1.0.12018-04-27 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.0.02018-04-16
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-04-16
- Total releases
- 4 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.4.0
- Download size
- 24 KB
Cite
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Run in R for the authors' preferred citation:
citation("smartsizer")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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