BayesGLM_format_cifti

Format beta estimates or RSS of the <code>fit_bayesglm</code> results into list of
<code>"xifti"</code> objects for each session.

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

BayesGLM_format_cifti function

<dl><dt>BGLMs</dt>
<dd>The list of <code>"BGLM"</code> objects, from <code>fit_bayesglm</code>.</dd>
<dt>do, spatial, submeta, session_names, field_names</dt>
<dd>See <code>BayesGLM</code>.</dd>
<dt>method</dt>
<dd><code>"classical"</code> or <code>"Bayesian"</code></dd></dl>

Arguments

Format fit_bayesglm results into "xifti" objects — BayesGLM_format_cifti

<dl>

<dt>BGLMs</dt>
<dd>The list of <code>"BGLM"</code> objects, from <code>fit_bayesglm</code>.</dd>


<dt>do, spatial, submeta, session_names, field_names</dt>
<dd>See <code>BayesGLM</code>.</dd>


<dt>method</dt>
<dd><code>"classical"</code> or <code>"Bayesian"</code></dd>

</dl>

BayesGLM_format_cifti: Format fit_bayesglm results into `"xifti"` objects

Description

Usage

Value

Arguments