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:	2.1
Imports:	Rcpp (≥ 1.0.9), oro.nifti, wavethresh
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown, bookdown
Published:	2022-10-02
Author:	Nilotpal Sanyal [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_2.1.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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