R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
rPowerSampleSize
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]
[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 05 Mar. 2026.
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
Functions, R codes and Examples using
the rPowerSampleSize R package
Some associated functions: Psirmd . Psirms . Psirmu . bonferroni.1m.ssc . complexity . data.sim . df.compute . global.1m.analysis . global.1m.ssc . indiv.1m.analysis . indiv.1m.ssc . indiv.analysis . indiv.rm.ssc . matrix.type.compute . montecarlo . plot.rPower . rPowerSampleSize-package .
Some associated R codes: bonferroni.1m.ssc.R . complexity.R . global.1m.analysis.R . global.1m.ssc.R . indiv.1m.analysis.R . indiv.1m.ssc.R . indiv.analysis.R . indiv.rm.ssc.R . indive.rm.ssc.R . indivne.rm.ssc.R . montecarlo.R . plot.rPower.R . Full rPowerSampleSize package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
pinp
A 'PNAS'-alike style for 'rmarkdown', derived from the
'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Dirk Eddelbuettel (view profile)
diffIRT
Package to fit diffusion-based IRT models to response and
response time data. Models are fit using ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Dylan Molenaar (view profile)
ClimClass
Classification of climate according to Koeppen - Geiger, of aridity
indices, of continentality indi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Emanuele Eccel (view profile)
neat
Includes functions and examples to compute NEAT, the Network
Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Mirko Signorelli (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
roccv
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ben Sherwood (view profile)
26,264
R Packages
223,360
Dependencies
70,244
Author Associations
26,265
Publication Badges
