make_data_list

Make data list to be passed to <code>estimate_model</code>

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

make_data_list function

<dl><dt>y</dt>
<dd>Vectorized BOLD data (all voxels, sessions, etc.)</dd>
<dt>X</dt>
<dd>List (length = number of sessions) of sparse design matrices size TVxVK from each session, each created using <code>organize_data()</code></dd>
<dt>betas</dt>
<dd>List (length = number of tasks) of bbeta objects from organize_replicates</dd>
<dt>repls</dt>
<dd>List (length = number of tasks) of repl objects from organize_replicates</dd></dl>

Arguments

Make data list for estimate_model — make_data_list

<dl>

<dt>y</dt>
<dd>Vectorized BOLD data (all voxels, sessions, etc.)</dd>


<dt>X</dt>
<dd>List (length = number of sessions) of sparse design matrices size TVxVK from each session, each created using <code>organize_data()</code></dd>


<dt>betas</dt>
<dd>List (length = number of tasks) of bbeta objects from organize_replicates</dd>


<dt>repls</dt>
<dd>List (length = number of tasks) of repl objects from organize_replicates</dd>

</dl>

make_data_list: Make data list for `estimate_model`

Description

Usage

Value

Arguments