internal

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

ELL function

<dl><dt>Q</dt>
<dd>precision matrix</dd>
<dt>sigma2</dt>
<dd>noise variance</dd>
<dt>model_data</dt>
<dd>list with X and y</dd>
<dt>Psi</dt>
<dd>data locations to mesh locations matrix</dd>
<dt>mu</dt>
<dd>posterior mean of w</dd>
<dt>Sigma</dt>
<dd>posterior covariance of w</dd>
<dt>A</dt>
<dd>crossprod(X%*%Psi)</dd></dl>

Arguments

Expected log-likelihood function — ELL

<dl>

<dt>Q</dt>
<dd>precision matrix</dd>


<dt>sigma2</dt>
<dd>noise variance</dd>


<dt>model_data</dt>
<dd>list with X and y</dd>


<dt>Psi</dt>
<dd>data locations to mesh locations matrix</dd>


<dt>mu</dt>
<dd>posterior mean of w</dd>


<dt>Sigma</dt>
<dd>posterior covariance of w</dd>


<dt>A</dt>
<dd>crossprod(X%*%Psi)</dd>

</dl>

Expected log-likelihood function

ELL: Expected log-likelihood function

Description

Usage

Value

Arguments