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>.

Version: 0.3.11
Depends: R (≥ 3.6.0)
Imports: ciftiTools (≥ 0.8.0), excursions, foreach, fMRItools, MASS, Matrix, matrixStats, methods, Rcpp, stats, sp, utils
LinkingTo: RcppEigen, Rcpp
Suggests: covr, abind, dplyr, geometry, ggplot2, grDevices, INLA (≥ 0.0-1468840039), knitr, MatrixModels, parallel, purrr, rdist, rmarkdown, SQUAREM, testthat (≥ 3.0.0)
Published: 2023-12-18
DOI: 10.32614/CRAN.package.BayesfMRI
Author: Amanda Mejia [aut, cre], Daniel Spencer ORCID iD [aut], Damon Pham ORCID iD [ctb], David Bolin [ctb], Sarah Ryan [ctb], Yu (Ryan) Yue [ctb]
Maintainer: Amanda Mejia <mandy.mejia at>
License: GPL-3
NeedsCompilation: yes
Citation: BayesfMRI citation info
Materials: README NEWS
CRAN checks: BayesfMRI results


Reference manual: BayesfMRI.pdf


Package source: BayesfMRI_0.3.11.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesfMRI_0.3.11.tgz, r-oldrel (arm64): BayesfMRI_0.3.11.tgz, r-release (x86_64): BayesfMRI_0.3.11.tgz, r-oldrel (x86_64): BayesfMRI_0.3.11.tgz
Old sources: BayesfMRI archive


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