FDRsampsize (version 1.0)

Compute Sample Size that Meets Requirements for Average Power and FDR

Description

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.

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Version

Install

install.packages('FDRsampsize')

Monthly Downloads

141

Version

1.0

License

GPL-2

Maintainer

Stan Pounds

Last Published

January 15th, 2016

Functions in FDRsampsize (1.0)

power.cox

Compute the power of a single-predictor Cox regression model

alpha.power

Find the p-value threshold that gives a specified average power

fdr.power

Compute the average power at a specific FDR control level

FDRsampsize-package

An R package to Perform Power and Sample Size Calculations for Microarray Studies

afdr

Compute the anticipated FDR

fdr.sampsize

Determine sample size required to achieve a desired average power while controlling the FDR at a specified level.

alpha.fdr

Find the fixed p-value threshold that controls the FDR at a specified level

pi.star

Compute the anticipated null proportion estimate

average.power

Compute average power for a given sample size

n.fdr

Find the sample size that meets desired FDR and power criteria

power.hart

Compute Power for RNA-seq Experiments Assuming Negative Binomial Distribution.

power.li

Compute Power for RNA-Seq Experiments Assuming Poisson Distribution

power.signtest

Compute power of the sign test

power.ranksum

Compute power of the rank-sum test

power.tcorr

Compute Power of the t-test for non-zero correlation

power.twosampt

Compute power of the two-samples t-test

power.oneway

Compute power of one-way ANOVA

power.onesampt

Compute power of the one-sample t-test