R: Compute Sample Size that Meets Requirements for Average Power and FDR

# Compute Sample Size that Meets Requirements for Average Power and FDR

## Documentation for package ‘FDRsampsize’ version 1.0

- DESCRIPTION file

## Help Pages

FDRsampsize-package | An R package to Perform Power and Sample Size Calculations for Microarray Studies
afdr | Compute the anticipated FDR
alpha.fdr | Find the fixed p-value threshold that controls the FDR at a specified level
alpha.power | Find the p-value threshold that gives a specified average power
average.power | Compute average power for a given sample size
fdr.power | Compute the average power at a specific FDR control level
fdr.sampsize | Determine sample size required to achieve a desired average power while controlling the FDR at a specified level.
FDRsampsize | An R package to Perform Power and Sample Size Calculations for Microarray Studies
n.fdr | Find the sample size that meets desired FDR and power criteria
pi.star | Compute the anticipated null proportion estimate
power.cox | Compute the power of a single-predictor Cox regression model
power.hart | Compute Power for RNA-seq Experiments Assuming Negative Binomial Distribution.
power.li | Compute Power for RNA-Seq Experiments Assuming Poisson Distribution
power.onesampt | Compute power of the one-sample t-test
power.oneway | Compute power of one-way ANOVA
power.ranksum | Compute power of the rank-sum test
power.signtest | Compute power of the sign test
power.tcorr | Compute Power of the t-test for non-zero correlation
power.twosampt | Compute power of the two-samples t-test
print.fdr.sampsize | Determine sample size required to achieve a desired average power while controlling the FDR at a specified level.