.getSqrtInvCpp

Get the prewhitening matrix for a single data location

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

Damon Pham

David Bolin

Yu (Ryan) Yue

Daniel Spencer

Sarah Ryan

.getSqrtInvCpp function

<dl><dt>AR_coefs</dt>
<dd>a length-p vector where p is the AR order</dd>
<dt>nTime</dt>
<dd>(integer) the length of the time series that is being prewhitened</dd>
<dt>avg_var</dt>
<dd>a scalar value of the residual variances of the AR model</dd></dl>

Arguments

Get the prewhitening matrix for a single data location — .getSqrtInvCpp

<dl>

<dt>AR_coefs</dt>
<dd>a length-p vector where p is the AR order</dd>


<dt>nTime</dt>
<dd>(integer) the length of the time series that is being prewhitened</dd>


<dt>avg_var</dt>
<dd>a scalar value of the residual variances of the AR model</dd>

</dl>

.getSqrtInvCpp: Get the prewhitening matrix for a single data location

Description

Usage

Arguments