return_INLA_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

return_INLA_Param function

<dl><dt>return_INLA</dt>
<dd>Return the INLA model object? (It can be large.) Use
<code>"trimmed"</code> (default) returns the results sufficient for
<code>activations</code> and <code>BayesGLM2</code>; <code>"minimal"</code>
returns enough for <code>BayesGLM2</code> but not
<code>activations</code>; <code>"full"</code> returns the full <code>inla</code>
output.</dd></dl>

Arguments

return_INLA — return_INLA_Param

<dl>

<dt>return_INLA</dt>
<dd>Return the INLA model object? (It can be large.) Use
<code>"trimmed"</code> (default) returns the results sufficient for
<code>activations</code> and <code>BayesGLM2</code>; <code>"minimal"</code>
returns enough for <code>BayesGLM2</code> but not
<code>activations</code>; <code>"full"</code> returns the full <code>inla</code>
output.</dd>

</dl>

return_INLA

return_INLA_Param: return_INLA

Description

Arguments