plot.BayesGLM2_cifti

S3 method: use <code>view_xifti_surface</code> to plot a <code>"BayesGLM2_cifti"</code> object

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

plot.BayesGLM2_cifti function

<dl><dt>x</dt>
<dd>An object of class "BayesGLM2_cifti"</dd>
<dt>idx</dt>
<dd>Which contrast should be plotted? Give the numeric index.
<code>NULL</code> (default) will show all contrasts. This argument overrides
the <code>idx</code> argument to <code>view_xifti_surface</code>.</dd>
<dt>what</dt>
<dd>Estimates of the <code>"contrasts"</code> (default), or their
thresholded <code>"activations"</code>.</dd>
<dt>...</dt>
<dd>Additional arguments to <code>view_xifti_surface</code></dd></dl>

Arguments

S3 method: use view_xifti_surface to plot a "BayesGLM2_cifti" object — plot.BayesGLM2_cifti

<dl>

<dt>x</dt>
<dd>An object of class "BayesGLM2_cifti"</dd>


<dt>idx</dt>
<dd>Which contrast should be plotted? Give the numeric index.
<code>NULL</code> (default) will show all contrasts. This argument overrides
the <code>idx</code> argument to <code>view_xifti_surface</code>.</dd>


<dt>what</dt>
<dd>Estimates of the <code>"contrasts"</code> (default), or their
thresholded <code>"activations"</code>.</dd>


<dt>...</dt>
<dd>Additional arguments to <code>view_xifti_surface</code></dd>

</dl>

plot.BayesGLM2_cifti: S3 method: use `view_xifti_surface` to plot a `"BayesGLM2_cifti"` object

Description

Usage

Value

Arguments