fdrDiscreteNull

False Discovery Rate Procedures Under Discrete and Heterogeneous Null Distributions

It is known that current false discovery rate (FDR) procedures can be very conservative when applied to multiple testing in the discrete paradigm where p-values (and test statistics) have discrete and heterogeneous null distributions. This package implements more powerful weighted or adaptive FDR procedures for FDR control and estimation in the discrete paradigm. The package takes in the original data set rather than just the p-values in order to carry out the adjustments for discreteness and heterogeneity of p-value distributions. The package implements methods for two types of test statistics and their p-values: (a) binomial test on if two independent Poisson distributions have the same means, (b) Fisher's exact test on if the conditional distribution is the same as the marginal distribution for two binomial distributions, or on if two independent binomial distributions have the same probabilities of success.

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Description file content

Package
fdrDiscreteNull
Type
Package
Title
False Discovery Rate Procedures Under Discrete and Heterogeneous Null Distributions
Version
1.2
Date
2017-10-10
Author
Xiongzhi Chen and Rebecca W. Doerge
Maintainer
Xiongzhi Chen
Description
It is known that current false discovery rate (FDR) procedures can be very conservative when applied to multiple testing in the discrete paradigm where p-values (and test statistics) have discrete and heterogeneous null distributions. This package implements more powerful weighted or adaptive FDR procedures for FDR control and estimation in the discrete paradigm. The package takes in the original data set rather than just the p-values in order to carry out the adjustments for discreteness and heterogeneity of p-value distributions. The package implements methods for two types of test statistics and their p-values: (a) binomial test on if two independent Poisson distributions have the same means, (b) Fisher's exact test on if the conditional distribution is the same as the marginal distribution for two binomial distributions, or on if two independent binomial distributions have the same probabilities of success.
Imports
MCMCpack
Depends
R(>= 3.2.0)
URL
License
LGPL
Encoding
UTF-8
NeedsCompilation
no
Packaged
2017-10-10 16:45:39 UTC; xchen
Repository
CRAN
Date/Publication
2017-10-10 17:09:55 UTC

install.packages('fdrDiscreteNull')

1.2

12 days ago

http://math.wsu.edu/faculty/xchen/welcome.php

Xiongzhi Chen

LGPL

Depends on

R(>= 3.2.0)

Imports

MCMCpack

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