neg_kappa_fn4

Streamlined negative objective function for kappa2 using precompiled values

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

neg_kappa_fn4 function

<dl><dt>kappa2</dt>
<dd>scalar</dd>
<dt>spde</dt>
<dd>SPDE prior matrix</dd>
<dt>a_star</dt>
<dd>precomputed coefficient (scalar)</dd>
<dt>b_star</dt>
<dd>precomputed coefficient (scalar)</dd>
<dt>n_sess</dt>
<dd>number of sessions (scalar)</dd></dl>

Arguments

Streamlined negative objective function for kappa2 using precompiled values — neg_kappa_fn4

<dl>

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


<dt>spde</dt>
<dd>SPDE prior matrix</dd>


<dt>a_star</dt>
<dd>precomputed coefficient (scalar)</dd>


<dt>b_star</dt>
<dd>precomputed coefficient (scalar)</dd>


<dt>n_sess</dt>
<dd>number of sessions (scalar)</dd>

</dl>

neg_kappa_fn4: Streamlined negative objective function for kappa2 using precompiled values

Description

Usage

Value

Arguments