mesh_Param_inla

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

mesh_Param_inla function

<dl><dt>mesh</dt>
<dd>An <code>"inla.mesh"</code> object (see <code>make_mesh</code> for
surface data).</dd></dl>

Arguments

mesh: INLA only — mesh_Param_inla

<dl>

<dt>mesh</dt>
<dd>An <code>"inla.mesh"</code> object (see <code>make_mesh</code> for
surface data).</dd>

</dl>

mesh: INLA only

mesh_Param_inla: mesh: INLA only

Description

Arguments