EM_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

EM_Param function

<dl><dt>EM</dt>
<dd>(logical) Should the EM implementation of the Bayesian GLM be used?
Default: <code>FALSE</code>. This method is still in development.</dd></dl>

Arguments

EM — EM_Param

<dl>

<dt>EM</dt>
<dd>(logical) Should the EM implementation of the Bayesian GLM be used?
Default: <code>FALSE</code>. This method is still in development.</dd>

</dl>

EM_Param: EM

Description

Arguments