Spatial Bayesian Methods for Task Functional MRI Studies R package BayesfMRI version 0.11.0 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>. Software Depends: R (>= 3.6.0) Imports: car, ciftiTools (>= 0.17.2), excursions, foreach, fMRItools (>= 0.5.3), MASS, Matrix, matrixStats, methods, Rcpp, stats, sp, utils, viridisLite LinkingTo: RcppEigen, Rcpp Suggests: covr, abind, grDevices, hrf, INLA (>= 0.0-1468840039), knitr, MatrixModels, parallel, purrr, rmarkdown, SQUAREM, testthat (>= 3.0.0), spelling Amanda Mejia <mandy.mejia@gmail.com> Comprehensive R Archive Network (CRAN) Amanda Mejia [aut, cre], Damon Pham [ctb] (ORCID: <https://orcid.org/0000-0001-7563-4727>), David Bolin [ctb], Yu (Ryan) Yue [ctb], Daniel Spencer [aut] (ORCID: <https://orcid.org/0000-0002-9705-3605>), Sarah Ryan [ctb] GPL-3 2025-12-22 application/tgz https://CRAN.R-project.org/package=BayesfMRI doi:10.32614/CRAN.package.BayesfMRI en-US