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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>.
Getting started
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Package details |
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| Author | Amanda Mejia [aut, cre], Damon Pham [ctb] (<https://orcid.org/0000-0001-7563-4727>), David Bolin [ctb], Yu (Ryan) Yue [ctb], Daniel Spencer [aut] (<https://orcid.org/0000-0002-9705-3605>), Sarah Ryan [ctb] |
| Maintainer | Amanda Mejia <mandy.mejia@gmail.com> |
| License | GPL-3 |
| Version | 0.10.1 |
| URL | https://github.com/mandymejia/BayesfMRI |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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