aic_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

aic_Param function

<dl><dt>aic</dt>
<dd>(For prewhitening) Use the Akaike information criterion (AIC) to
select AR model orders between <code>0</code> and <code>ar_order</code>? Default:
<code>FALSE</code>.</dd></dl>

Arguments

aic — aic_Param

<dl>

<dt>aic</dt>
<dd>(For prewhitening) Use the Akaike information criterion (AIC) to
select AR model orders between <code>0</code> and <code>ar_order</code>? Default:
<code>FALSE</code>.</dd>

</dl>

aic_Param: aic

Description

Arguments