summary.BGLM

print.summary.BGLM

print.BGLM

Summary method for class <code>"BGLM"</code>

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

summary.BGLM function

<dl><dt>object</dt>
<dd>Object of class <code>"BGLM"</code>.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>
<dt>x</dt>
<dd>Object of class <code>"summary.BGLM"</code>.</dd></dl>

Arguments

Summarize a "BGLM" object — summary.BGLM

<dl>

<dt>object</dt>
<dd>Object of class <code>"BGLM"</code>.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>


<dt>x</dt>
<dd>Object of class <code>"summary.BGLM"</code>.</dd>

</dl>

summary.BGLM: Summarize a `"BGLM"` object

Description

Usage

Value

Arguments