check_INLA

internal

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

check_INLA function

<dl><dt>require_PARDISO</dt>
<dd>Is PARDISO required? Default: <code>FALSE</code>.</dd></dl>

Arguments

Check INLA and PARDISO — check_INLA

<dl>

<dt>require_PARDISO</dt>
<dd>Is PARDISO required? Default: <code>FALSE</code>.</dd>

</dl>

Check INLA and PARDISO

check_INLA: Check INLA and PARDISO

Description

Usage

Value

Arguments