field_names_Param

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

field_names_Param function

<dl><dt>field_names</dt>
<dd>(Optional) Names of fields represented in design matrix.</dd></dl>

Arguments

field_names — field_names_Param

<dl>

<dt>field_names</dt>
<dd>(Optional) Names of fields represented in design matrix.</dd>

</dl>

field_names

field_names_Param: field_names

Description

Arguments