prep_kappa2_optim

Find values for coefficients used in objective function for kappa2

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

prep_kappa2_optim function

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

Arguments

Find values for coefficients used in objective function for kappa2 — prep_kappa2_optim

<dl>

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


<dt>mu</dt>
<dd>the mean</dd>


<dt>phi</dt>
<dd>scale parameter</dd>


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


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

</dl>

prep_kappa2_optim: Find values for coefficients used in objective function for kappa2

Description

Usage

Value

Arguments