ar_order_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

ar_order_Param function

<dl><dt>ar_order</dt>
<dd>(numeric) Controls prewhitening. If greater than zero, this
should be a number indicating the order of the autoregressive model to use
for prewhitening. If zero, do not prewhiten. Default: <code>6</code>. For
multi-session models, note that a single AR model is used; the parameters
are estimated by averaging the estimates from each session.</dd></dl>

Arguments

ar_order — ar_order_Param

<dl>

<dt>ar_order</dt>
<dd>(numeric) Controls prewhitening. If greater than zero, this
should be a number indicating the order of the autoregressive model to use
for prewhitening. If zero, do not prewhiten. Default: <code>6</code>. For
multi-session models, note that a single AR model is used; the parameters
are estimated by averaging the estimates from each session.</dd>

</dl>

ar_order

ar_order_Param: ar_order

Description

Arguments