Threshold.FDR

Calculates the False Discovery Rate (FDR) threshold for a
 given vector of statistic values.

utilities

Utilizing model-based clustering (unsupervised)
for functional magnetic resonance imaging (fMRI) data.
The developed methods (Chen and Maitra (2023) <doi:10.1002/hbm.26425>)
include 2D and 3D clustering analyses
(for p-values with voxel locations) and
segmentation analyses (for p-values alone) for fMRI data where p-values
indicate significant level of activation responding to stimulate
of interesting. The analyses are mainly identifying active
voxel/signal associated with normal brain behaviors.
Analysis pipelines (R scripts) utilizing this package
(see examples in 'inst/workflow/') is also implemented with high
performance techniques.

Wei-Chen Chen

MixfMRI

Mixture fMRI Clustering Analysis

Ranjan Maitra

Dan Nettleton

Pierre Lafaye De Micheaux

Jonathan L Marchini

Threshold.FDR function

<dl> <dt>x</dt>
<dd>A vector of test statistic values.</dd> <dt>q</dt>
<dd>The desired False Discovery Rate threshold.</dd> <dt>cV.type</dt>
<dd>A flag that specifies the assumptions about the joint
 distribution of p-values. Choose cV.type = 2 for fMRI data (see
 Genovese et al (2001)</dd> <dt>type</dt>
<dd>The distribution of the statistic values. Either "Normal",
 "t" or "F".</dd> <dt>df1</dt>
<dd>The degrees of freedom of the t-distribution or the first
 degrees of freedom parameter for the F distribution.</dd> <dt>df2</dt>
<dd>The second degrees of freedom parameter for the F distribution.</dd></dl>

Arguments

Author

False Discovery Rate (FDR) Threshold — Threshold.FDR

<dl>

 <dt>x</dt>
<dd>A vector of test statistic values.</dd>

 <dt>q</dt>
<dd>The desired False Discovery Rate threshold.</dd>

 <dt>cV.type</dt>
<dd>A flag that specifies the assumptions about the joint
 distribution of p-values. Choose cV.type = 2 for fMRI data (see
 Genovese et al (2001)</dd>

 <dt>type</dt>
<dd>The distribution of the statistic values. Either "Normal",
 "t" or "F".</dd>

 <dt>df1</dt>
<dd>The degrees of freedom of the t-distribution or the first
 degrees of freedom parameter for the F distribution.</dd>

 <dt>df2</dt>
<dd>The second degrees of freedom parameter for the F distribution.</dd>

</dl>

Threshold.FDR: False Discovery Rate (FDR) Threshold

Description

Usage

Value

Arguments

Author

Details

References

Examples