Performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) <doi:10.1016/j.neuroimage.2012.08.041> using wavelet based prior that borrows strength across subjects and returns posterior smoothed versions of the fMRI data and samples from the posterior distribution.
| Version: | 1.3 |
| Depends: | oro.nifti, wavethresh, compiler |
| Suggests: | knitr |
| Published: | 2019-05-16 |
| Author: | Nilotpal Sanyal [aut, cre], Marco A.R. Ferreira [aut] |
| Maintainer: | Nilotpal Sanyal <nsanyal at stanford.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://www.r-project.org |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | BHMSMAfMRI results |
| Reference manual: | BHMSMAfMRI.pdf |
| Vignettes: |
BHMSMAfMRI package manual |
| Package source: | BHMSMAfMRI_1.3.tar.gz |
| Windows binaries: | r-devel: BHMSMAfMRI_1.3.zip, r-release: BHMSMAfMRI_1.3.zip, r-oldrel: BHMSMAfMRI_1.3.zip |
| macOS binaries: | r-release (arm64): BHMSMAfMRI_1.3.tgz, r-oldrel (arm64): BHMSMAfMRI_1.3.tgz, r-release (x86_64): BHMSMAfMRI_1.3.tgz, r-oldrel (x86_64): BHMSMAfMRI_1.3.tgz |
| Old sources: | BHMSMAfMRI archive |
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