neg_kappa_fn2

The negative of the objective function for kappa without Sig_inv

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_fn2 function

<dl><dt>kappa2</dt>
<dd>scalar</dd>
<dt>spde</dt>
<dd>an spde object</dd>
<dt>phi</dt>
<dd>scalar</dd>
<dt>P</dt>
<dd>Matrix of dimension nk by N_s found by <code>solve(Sig_inv,Vh)</code></dd>
<dt>mu</dt>
<dd>dgeMatrix</dd>
<dt>Vh</dt>
<dd>random matrix of -1 and 1 of dim <code>dim(P)</code></dd></dl>

Arguments

The negative of the objective function for kappa without Sig_inv — neg_kappa_fn2

<dl>

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


<dt>spde</dt>
<dd>an spde object</dd>


<dt>phi</dt>
<dd>scalar</dd>


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


<dt>mu</dt>
<dd>dgeMatrix</dd>


<dt>Vh</dt>
<dd>random matrix of -1 and 1 of dim <code>dim(P)</code></dd>

</dl>

neg_kappa_fn2: The negative of the objective function for kappa without Sig_inv

Description

Usage

Value

Arguments