trim_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

trim_INLA_Param function

<dl><dt>trim_INLA</dt>
<dd>(logical) should the <code>INLA_model_obj</code> within the
result be trimmed to only what is necessary to use <code>activations</code>?
Default: <code>TRUE</code>.</dd></dl>

Arguments

trim_INLA — trim_INLA_Param

<dl>

<dt>trim_INLA</dt>
<dd>(logical) should the <code>INLA_model_obj</code> within the
result be trimmed to only what is necessary to use <code>activations</code>?
Default: <code>TRUE</code>.</dd>

</dl>

trim_INLA

trim_INLA_Param: trim_INLA

Description

Arguments