GLM_est_resid_var_pw

Standardize data variance and prewhiten if applicable, for the GLM.

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

Damon Pham

David Bolin

Yu (Ryan) Yue

Daniel Spencer

Sarah Ryan

GLM_est_resid_var_pw function

<dl><dt>BOLD, design, spatial</dt>
<dd>See <code>fit_bayesglm</code>.</dd>
<dt>session_names, field_names, design_type</dt>
<dd>See <code>fit_bayesglm</code>.</dd>
<dt>valid_cols, nT, do_pw</dt>
<dd>See <code>fit_bayesglm</code>.</dd></dl>

Arguments

Standardize data variance, and prewhiten if applicable — GLM_est_resid_var_pw

<dl>

<dt>BOLD, design, spatial</dt>
<dd>See <code>fit_bayesglm</code>.</dd>


<dt>session_names, field_names, design_type</dt>
<dd>See <code>fit_bayesglm</code>.</dd>


<dt>valid_cols, nT, do_pw</dt>
<dd>See <code>fit_bayesglm</code>.</dd>

</dl>

GLM_est_resid_var_pw: Standardize data variance, and prewhiten if applicable

Description

Usage

Value

Arguments