rPowerSampleSize: Sample Size Computations Controlling the Type-II Generalized Family-Wise Error Rate

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) <doi:10.1080/10543406.2013.860156>.

Author
Pierre Lafaye de Micheaux, Benoit Liquet and Jeremie Riou
Date of publication
2016-01-13 18:15:23
Maintainer
Pierre Lafaye de Micheaux <lafaye@dms.umontreal.ca>
License
GPL (> 2)
Version
1.0.1

View on CRAN

Man pages

bonferroni.1m.ssc
Sample Size Computation with Single Step Bonferroni Method in...
complexity
Computation of the complexity of the numerical computations.
data.sim
Simulated data
df.compute
Computation of degrees of freedom.
global.1m.analysis
Data analysis with a global method in the context of multiple...
global.1m.ssc
Sample Size Computation Based on a Global Procedure in the...
indiv.1m.analysis
Data analysis with an individual testing procedure in the...
indiv.1m.ssc
Sample size computation with an individual testing procedure...
indiv.analysis
Data analysis using an individual testing procedure...
indiv.rm.ssc
Sample size determination in the context of multiple...
matrix.type.compute
Computation of matrix type
montecarlo
Monte carlo computation of power.
plot.rPower
Plot of an rPower object
Psirmd
Computation of power for step-down (Holm) procedure.
Psirms
Computation of power for single step (Bonferroni) procedure.
Psirmu
Computation of power for step-up (Hochberg) procedure.
rPowerSampleSize-package
Sample Size Computation and Data Analysis in the context of...

Files in this package

rPowerSampleSize
rPowerSampleSize/NAMESPACE
rPowerSampleSize/data
rPowerSampleSize/data/data.sim.rda
rPowerSampleSize/R
rPowerSampleSize/R/indiv.rm.ssc.R
rPowerSampleSize/R/indiv.1m.ssc.R
rPowerSampleSize/R/indiv.1m.analysis.R
rPowerSampleSize/R/complexity.R
rPowerSampleSize/R/indiv.analysis.R
rPowerSampleSize/R/indivne.rm.ssc.R
rPowerSampleSize/R/montecarlo.R
rPowerSampleSize/R/global.1m.ssc.R
rPowerSampleSize/R/indive.rm.ssc.R
rPowerSampleSize/R/global.1m.analysis.R
rPowerSampleSize/R/plot.rPower.R
rPowerSampleSize/R/bonferroni.1m.ssc.R
rPowerSampleSize/MD5
rPowerSampleSize/DESCRIPTION
rPowerSampleSize/man
rPowerSampleSize/man/plot.rPower.Rd
rPowerSampleSize/man/indiv.analysis.Rd
rPowerSampleSize/man/Psirmd.Rd
rPowerSampleSize/man/indiv.1m.ssc.Rd
rPowerSampleSize/man/df.compute.Rd
rPowerSampleSize/man/complexity.Rd
rPowerSampleSize/man/indiv.1m.analysis.Rd
rPowerSampleSize/man/data.sim.Rd
rPowerSampleSize/man/Psirms.Rd
rPowerSampleSize/man/rPowerSampleSize-package.Rd
rPowerSampleSize/man/bonferroni.1m.ssc.Rd
rPowerSampleSize/man/indiv.rm.ssc.Rd
rPowerSampleSize/man/montecarlo.Rd
rPowerSampleSize/man/matrix.type.compute.Rd
rPowerSampleSize/man/global.1m.ssc.Rd
rPowerSampleSize/man/global.1m.analysis.Rd
rPowerSampleSize/man/Psirmu.Rd