BayesfMRI
Spatial Bayesian Methods for Task Functional MRI Studies
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.
- Version0.3.11
- R version≥ 3.6.0
- LicenseGPL-3
- Needs compilation?Yes
- BayesfMRI citation info
- Last release12/18/2023
Documentation
Team
Amanda Mejia
David Bolin
Show author detailsRolesContributorDaniel Spencer
Damon Pham
Sarah Ryan
Show author detailsRolesContributorYu (Ryan) Yue
Show author detailsRolesContributor
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- Imports9 packages
- Suggests12 packages
- Linking To2 packages