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. |