Other packages > Find by keyword >

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]
All associated links for this package
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 04 Jun. 2026.
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA