organize_replicates

beta and repl vectors are of length \(nvox \times n_sess \times n_task\).
The ith repl vector is an indicator vector for the cells corresponding to the ith column of x.
The ith beta vector contains data indices (e.g. 1,...,V) in the cells corresponding to the ith column of x.

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

organize_replicates function

<dl><dt>n_sess</dt>
<dd>The number of sessions sharing hyperparameters (can be different tasks)</dd>
<dt>task_names</dt>
<dd>Vector of names for each task</dd>
<dt>mesh</dt>
<dd>An <code>"inla.mesh"</code> object (see <code>make_mesh</code> for
surface data).</dd></dl>

Arguments

Organize replicates — organize_replicates

<dl>

<dt>n_sess</dt>
<dd>The number of sessions sharing hyperparameters (can be different tasks)</dd>


<dt>task_names</dt>
<dd>Vector of names for each task</dd>


<dt>mesh</dt>
<dd>An <code>"inla.mesh"</code> object (see <code>make_mesh</code> for
surface data).</dd>

</dl>

organize_replicates: Organize replicates

Description

Usage

Value

Arguments