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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 [aut], Damon Pham [ctb], David Bolin [ctb], Sarah Ryan [ctb], Yu (Ryan) Yue [ctb] |
Maintainer: | Amanda Mejia <mandy.mejia at gmail.com> |
BugReports: | https://github.com/mandymejia/BayesfMRI/issues |
License: | GPL-3 |
URL: | https://github.com/mandymejia/BayesfMRI |
NeedsCompilation: | yes |
Additional_repositories: | https://inla.r-inla-download.org/R/testing |
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: BayesfMRI_0.3.11.zip, r-release: BayesfMRI_0.3.11.zip, r-oldrel: BayesfMRI_0.3.11.zip |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.