| 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. |