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

Daniel Spencer

Damon Pham

David Bolin

Sarah Ryan

Yu (Ryan) Yue

return_INLA_Param function

<dl><dt>return_INLA</dt>
<dd>Return the INLA model object? (It can be large.) Use
<code>"trimmed"</code> (default) to return only the more relevant results, which
is enough for both <code>id_activations</code> and <code>BayesGLM2</code>,
<code>"minimal"</code> to return just enough for <code>BayesGLM2</code> but not
<code>id_activations</code>, or <code>"full"</code> to return the full output of
<code>inla</code>.</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) to return only the more relevant results, which
is enough for both <code>id_activations</code> and <code>BayesGLM2</code>,
<code>"minimal"</code> to return just enough for <code>BayesGLM2</code> but not
<code>id_activations</code>, or <code>"full"</code> to return the full output of
<code>inla</code>.</dd>

</dl>

return_INLA

return_INLA_Param: return_INLA

Description

Arguments