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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>.

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 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

Documentation:

Reference manual: BayesfMRI.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesfMRI to link to this page.

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.