Other packages > Find by keyword >

SteppedPower  

Power Calculation for Stepped Wedge Designs
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SteppedPower", "0.3.5")



Attach the package and use:
library("SteppedPower")
Maintained by
Philipp Mildenberger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-04
Latest Update: 2022-07-05
Description:
Tools for power and sample size calculation as well as design diagnostics for longitudinal mixed model settings, with a focus on stepped wedge designs. All calculations are oracle estimates i.e. assume random effect variances to be known (or guessed) in advance. The method is introduced in Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007>, extensions are discussed in Li et al. (2020) <doi:10.1177/0962280220932962>.
How to cite:
Philipp Mildenberger (2021). SteppedPower: Power Calculation for Stepped Wedge Designs. R package version 0.3.5, https://cran.r-project.org/web/packages/SteppedPower. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2021-02-04 16:50), 0.2.0 (2021-07-07 12:30), 0.3.1 (2021-12-16 17:10), 0.3.2 (2022-07-05 02:20), 0.3.4 (2023-09-13 02:50)
Other packages that cited SteppedPower R package
View SteppedPower citation profile
Other R packages that SteppedPower depends, imports, suggests or enhances
Complete documentation for SteppedPower
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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