Threshold.Bonferroni

Calculate the Bonferroni threshold for n iid tests that
 results in an overall p-value of p.val. The tests can be distributed
 as Normal, t or F.

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.Bonferroni function

<dl> <dt>p.val</dt>
<dd>The required overall p-value.</dd> <dt>n</dt>
<dd>The number of tests.</dd> <dt>type</dt>
<dd>The distribution of the tests. One of "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

Pierre Lafaye De Micheaux and J. L. Marchini.

Author

Calculates Bonferroni Threshold — Threshold.Bonferroni

<dl>

 <dt>p.val</dt>
<dd>The required overall p-value.</dd>

 <dt>n</dt>
<dd>The number of tests.</dd>

 <dt>type</dt>
<dd>The distribution of the tests. One of "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.Bonferroni: Calculates Bonferroni Threshold

Description

Usage

Value

Arguments

Author

Details

Examples