Bayes_Param

Performs a spatial Bayesian general linear model (GLM) for task
functional magnetic resonance imaging (fMRI) data on the cortical surface.
Additional models include group analysis and inference to detect thresholded
areas of activation. Includes direct support for the 'CIFTI' neuroimaging
file format. For more information see A. F. Mejia, Y. R. Yue, D. Bolin, F.
Lindgren, M. A. Lindquist (2020) <doi:10.1080/01621459.2019.1611582> and D.
Spencer, Y. R. Yue, D. Bolin, S. Ryan, A. F. Mejia (2022)
<doi:10.1016/j.neuroimage.2022.118908>.

Amanda Mejia

BayesfMRI

Spatial Bayesian Methods for Task Functional MRI Studies

Daniel Spencer

Damon Pham

David Bolin

Sarah Ryan

Yu (Ryan) Yue

Bayes_Param function

<dl><dt>Bayes</dt>
<dd>If <code>TRUE</code> (default), will fit a spatial Bayesian GLM in
addition to the classical GLM. (The classical GLM is always returned.)</dd></dl>

Arguments

Bayes — Bayes_Param

<dl>

<dt>Bayes</dt>
<dd>If <code>TRUE</code> (default), will fit a spatial Bayesian GLM in
addition to the classical GLM. (The classical GLM is always returned.)</dd>

</dl>

Bayes

Bayes_Param: Bayes

Description

Arguments