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

Damon Pham

David Bolin

Yu (Ryan) Yue

Daniel Spencer

Sarah Ryan

ar_order_Param function

<dl><dt>ar_order</dt>
<dd>(For prewhitening) The order of the autoregressive (AR) model
to use for prewhitening. If <code>0</code>, do not prewhiten. Default: <code>6</code>.
For multi-session modeling, note that a single AR model is used; its
coefficients will be the average estimate from each session.</dd></dl>

Arguments

ar_order — ar_order_Param

<dl>

<dt>ar_order</dt>
<dd>(For prewhitening) The order of the autoregressive (AR) model
to use for prewhitening. If <code>0</code>, do not prewhiten. Default: <code>6</code>.
For multi-session modeling, note that a single AR model is used; its
coefficients will be the average estimate from each session.</dd>

</dl>

ar_order

ar_order_Param: ar_order

Description

Arguments