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Implements Bayesian brain mapping models, including the prior ICA (independent components analysis) model proposed in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the spatial prior ICA model proposed in proposed in Mejia et al. (2022) <doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level brain as deviations from known population-level networks, which are estimated using standard ICA algorithms. Both models employ an expectation-maximization algorithm for estimation of the latent brain networks and unknown model parameters. Includes direct support for 'CIFTI', 'GIFTI', and 'NIFTI' neuroimaging file formats.
Version: | 0.1.3 |
Depends: | R (≥ 3.6.0) |
Imports: | abind, fMRItools (≥ 0.5.3), fMRIscrub (≥ 0.14.5), foreach, Matrix, matrixStats, methods, pesel, SQUAREM, stats, utils |
Suggests: | ciftiTools (≥ 0.13.2), excursions, RNifti, oro.nifti, gifti, parallel, doParallel, knitr, rmarkdown, INLA, testthat (≥ 3.0.0) |
Published: | 2025-07-04 |
DOI: | 10.32614/CRAN.package.BayesBrainMap |
Author: | Amanda Mejia [aut, cre],
Damon Pham |
Maintainer: | Amanda Mejia <mandy.mejia at gmail.com> |
BugReports: | https://github.com/mandymejia/BayesBrainMap/issues |
License: | GPL-3 |
URL: | https://github.com/mandymejia/BayesBrainMap |
NeedsCompilation: | no |
Additional_repositories: | https://inla.r-inla-download.org/R/testing |
Citation: | BayesBrainMap citation info |
Materials: | README NEWS |
CRAN checks: | BayesBrainMap results |
Reference manual: | BayesBrainMap.pdf |
Package source: | BayesBrainMap_0.1.3.tar.gz |
Windows binaries: | r-devel: not available, r-release: BayesBrainMap_0.1.3.zip, r-oldrel: BayesBrainMap_0.1.3.zip |
macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): BayesBrainMap_0.1.3.tgz, r-oldrel (x86_64): BayesBrainMap_0.1.3.tgz |
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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.