BHMSMAfMRI: Bayesian Hierarchical Multi-Subject Multiscale Analysis of Functional MRI (fMRI) Data

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: NA
Author: Nilotpal Sanyal ORCID iD [aut, cre], Marco A.R. Ferreira [aut]
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

Documentation:

Reference manual: BHMSMAfMRI.pdf
Vignettes: BHMSMAfMRI User Guide

Downloads:

Package source: BHMSMAfMRI_2.2.tar.gz
Windows binaries: r-devel: BHMSMAfMRI_2.1.zip, r-release: BHMSMAfMRI_2.1.zip, r-oldrel: BHMSMAfMRI_2.1.zip
macOS binaries: r-release (arm64): BHMSMAfMRI_2.1.tgz, r-oldrel (arm64): BHMSMAfMRI_2.1.tgz, r-release (x86_64): BHMSMAfMRI_2.1.tgz, r-oldrel (x86_64): BHMSMAfMRI_2.1.tgz
Old sources: BHMSMAfMRI archive

Linking:

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