INLA_Description

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

INLA_Description function

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

INLA — INLA_Description

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

INLA_Description: INLA

Description

Arguments

INLA Requirement