Other packages > Find by keyword >

rPowerSampleSize  

Sample Size Computations Controlling the Type-II Generalized Family-Wise Error Rate
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rPowerSampleSize", "1.0.2")



Attach the package and use:
library("rPowerSampleSize")
Maintained by
Pierre Lafaye de Micheaux
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-11-28
Latest Update: 2018-05-10
Description:
The significance of mean difference tests in clinical trials is established if at least r null hypotheses are rejected among m that are simultaneously tested. This package enables one to compute necessary sample sizes for single-step (Bonferroni) and step-wise procedures (Holm and Hochberg). These three procedures control the q-generalized family-wise error rate (probability of making at least q false rejections). Sample size is computed (for these single-step and step-wise procedures) in a such a way that the r-power (probability of rejecting at least r false null hypotheses, i.e. at least r significant endpoints among m) is above some given threshold, in the context of tests of difference of means for two groups of continuous endpoints (variables). Various types of structure of correlation are considered. It is also possible to analyse data (i.e., actually test difference in means) when these are available. The case r equals 1 is treated in separate functions that were used in Lafaye de Micheaux et al. (2014) .
How to cite:
Pierre Lafaye de Micheaux (2015). rPowerSampleSize: Sample Size Computations Controlling the Type-II Generalized Family-Wise Error Rate. R package version 1.0.2, https://cran.r-project.org/web/packages/rPowerSampleSize. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:47), 1.0.1 (2016-01-13 18:15), 1.0 (2015-11-28 14:53)
Other packages that cited rPowerSampleSize R package
View rPowerSampleSize citation profile
Other R packages that rPowerSampleSize depends, imports, suggests or enhances
Complete documentation for rPowerSampleSize
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pulseTD  
Identification of Transcriptional Dynamics using Pulse Models via 4su-Seq Data and RNA-Seq Data
A tool for analyzing the transcription, processing and degradation rates of genes by 4sU-seq (the Me ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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