TrSigB

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

TrSigB function

<dl><dt>P</dt>
<dd>Matrix of dimension nk by N_s found by <code>solve(Sig_inv,Vh)</code></dd>
<dt>B</dt>
<dd>Matrix of dimension nk by nk inside the desired trace product</dd>
<dt>vh</dt>
<dd>Matrix of dimension nk by N_s in which elements are -1 or 1 with
equal probability.</dd></dl>

Arguments

Hutchinson estimator of the trace — TrSigB

<dl>

<dt>P</dt>
<dd>Matrix of dimension nk by N_s found by <code>solve(Sig_inv,Vh)</code></dd>


<dt>B</dt>
<dd>Matrix of dimension nk by nk inside the desired trace product</dd>


<dt>vh</dt>
<dd>Matrix of dimension nk by N_s in which elements are -1 or 1 with
equal probability.</dd>

</dl>

Hutchinson estimator of the trace

TrSigB: Hutchinson estimator of the trace

Description

Usage

Value

Arguments