vertex_areas

Compute surface areas of each vertex in a triangular mesh.

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

vertex_areas function

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

Arguments

This function requires the <code>INLA</code> package, which is not a CRAN package.
See <a href="https://www.r-inla.org/download-install">https://www.r-inla.org/download-install</a> for easy installation instructions.

INLA Requirement

Surface area of each vertex — vertex_areas

<dl>

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

</dl>

This function requires the <code>INLA</code> package, which is not a CRAN package.
See <a href='https://www.r-inla.org/download-install'>https://www.r-inla.org/download-install</a> for easy installation instructions.

vertex_areas: Surface area of each vertex

Description

Usage

Value

Arguments

INLA Requirement