verbose_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

Damon Pham

David Bolin

Yu (Ryan) Yue

Daniel Spencer

Sarah Ryan

verbose_Param function

<dl><dt>verbose</dt>
<dd><code>1</code> (default) to print occasional updates during model
computation; <code>2</code> for occasional updates as well as running INLA in
verbose mode (if <code>Bayes</code>), or <code>0</code> for no printed updates.</dd></dl>

Arguments

verbose — verbose_Param

<dl>

<dt>verbose</dt>
<dd><code>1</code> (default) to print occasional updates during model
computation; <code>2</code> for occasional updates as well as running INLA in
verbose mode (if <code>Bayes</code>), or <code>0</code> for no printed updates.</dd>

</dl>

verbose

verbose_Param: verbose

Description

Arguments