qval.from.lfdr: Function to compute q values from local false discovery rates
In ashr: Methods for Adaptive Shrinkage, using Empirical Bayes
qval.from.lfdr R Documentation
Function to compute q values from local false discovery rates
Description
Computes q values from a vector of local fdr estimates
Usage
qval.from.lfdr(lfdr)
Arguments
lfdr,
a vector of local fdr estimates
Details
The q value for a given lfdr is an estimate of the (tail)
False Discovery Rate for all findings with a smaller lfdr, and
is found by the average of the lfdr for all more significant
findings. See Storey (2003), Annals of Statistics, for
definition of q value.
Value
vector of q values
ashr documentation built on Aug. 22, 2023, 1:07 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| qval.from.lfdr | R Documentation |
Function to compute q values from local false discovery rates
Description
Computes q values from a vector of local fdr estimates
Usage
qval.from.lfdr(lfdr)
Arguments
lfdr, |
a vector of local fdr estimates |
Details
The q value for a given lfdr is an estimate of the (tail) False Discovery Rate for all findings with a smaller lfdr, and is found by the average of the lfdr for all more significant findings. See Storey (2003), Annals of Statistics, for definition of q value.
Value
vector of q values
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.