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Package BHMSMAfMRI performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) <doi:10.1016/j.neuroimage.2012.08.041>, or other multiscale data, using wavelet-based prior that borrows strength across subjects and provides posterior smoothed images of the effect sizes and samples from the posterior distribution.
Version: | 2.2 |
Imports: | Rcpp (≥ 1.0.9), oro.nifti, wavethresh |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | knitr, rmarkdown, bookdown |
Published: | 2024-06-12 |
DOI: | 10.32614/CRAN.package.BHMSMAfMRI |
Author: | Nilotpal Sanyal |
Maintainer: | Nilotpal Sanyal <nilotpal.sanyal at gmail.com> |
BugReports: | https://github.com/nilotpalsanyal/BHMSMAfMRI/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://nilotpalsanyal.github.io/BHMSMAfMRI/ |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | BHMSMAfMRI results |
Reference manual: | BHMSMAfMRI.pdf |
Vignettes: |
BHMSMAfMRI User Guide |
Package source: | BHMSMAfMRI_2.2.tar.gz |
Windows binaries: | r-devel: BHMSMAfMRI_2.2.zip, r-release: BHMSMAfMRI_2.2.zip, r-oldrel: BHMSMAfMRI_2.2.zip |
macOS binaries: | r-release (arm64): BHMSMAfMRI_2.2.tgz, r-oldrel (arm64): BHMSMAfMRI_2.2.tgz, r-release (x86_64): BHMSMAfMRI_2.2.tgz, r-oldrel (x86_64): BHMSMAfMRI_2.2.tgz |
Old sources: | BHMSMAfMRI 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.
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