make_replicates

beta and repl vectors are of length \(nMesh \times nSess \times n_field\).
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

Damon Pham

David Bolin

Yu (Ryan) Yue

Daniel Spencer

Sarah Ryan

make_replicates function

<dl><dt>nSess</dt>
<dd>The number of sessions sharing hyperparameters (can be different fields)</dd>
<dt>field_names</dt>
<dd>Vector of names for each field</dd>
<dt>spatial</dt>
<dd>Spatial info</dd></dl>

Arguments

Make replicates — make_replicates

<dl>

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


<dt>field_names</dt>
<dd>Vector of names for each field</dd>


<dt>spatial</dt>
<dd>Spatial info</dd>

</dl>

make_replicates: Make replicates

Description

Usage

Value

Arguments