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

Defines a collection of functions to compute average power and sample size for studies that use the false discovery rate as the final measure of statistical significance.

- Author
- Stan Pounds <stanley.pounds@stjude.org>
- Date of publication
- 2016-01-15 10:28:09
- Maintainer
- Stan Pounds <stanley.pounds@stjude.org>
- License
- GPL-2
- Version
- 1.0

## Man pages

- afdr
- Compute the anticipated FDR
- alpha.fdr
- Find the fixed p-value threshold that controls the FDR at a...
- alpha.power
- Find the p-value threshold that gives a specified average...
- 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...
- FDRsampsize-package
- An R package to Perform Power and Sample Size Calculations...
- n.fdr
- Find the sample size that meets desired FDR and power...
- 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...
- power.li
- Compute Power for RNA-Seq Experiments Assuming Poisson...
- 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