.logDetQt

Find the log of the determinant of Q_tilde

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

.logDetQt function

<dl><dt>kappa2</dt>
<dd>a scalar</dd>
<dt>in_list</dt>
<dd>a list with elements Cmat, Gmat, and GtCinvG</dd>
<dt>n_sess</dt>
<dd>the integer number of sessions</dd></dl>

Arguments

Find the log of the determinant of Q_tilde — .logDetQt

<dl>

<dt>kappa2</dt>
<dd>a scalar</dd>


<dt>in_list</dt>
<dd>a list with elements Cmat, Gmat, and GtCinvG</dd>


<dt>n_sess</dt>
<dd>the integer number of sessions</dd>

</dl>

.logDetQt: Find the log of the determinant of Q_tilde

Description

Usage

Arguments