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smartsizer  

Power Analysis for a SMART Design
View on CRAN: Click here


Download and install smartsizer package within the R console
Install from CRAN:
install.packages("smartsizer")

Install from Github:
library("remotes")
install_github("cran/smartsizer")

Install by package version:
library("remotes")
install_version("smartsizer", "1.0.3")



Attach the package and use:
library("smartsizer")
Maintained by
William Artman
[Scholar Profile | Author Map]
First Published: 2018-04-16
Latest Update: 2021-01-06
Description:
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.
How to cite:
William Artman (2018). smartsizer: Power Analysis for a SMART Design. R package version 1.0.3, https://cran.r-project.org/web/packages/smartsizer. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0.0 (2018-04-16 11:04), 1.0.1 (2018-04-27 18:22), 1.0.2 (2019-11-22 12:10)
Other packages that cited smartsizer R package
View smartsizer citation profile
Other R packages that smartsizer depends, imports, suggests or enhances
Complete documentation for smartsizer
Functions, R codes and Examples using the smartsizer R package
Some associated functions: computePower . computePowerBySampleSize . computeSampleSize . plotPowerByN . smartsizer . 
Some associated R codes: compute-power-by-sample-size.R . compute-power.R . compute-sample-size.R . internal.R . plot-power-by-n.R . smartsizer.R .  Full smartsizer package functions and examples
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