ARIbrain: All-Resolution Inference

It performs All-Resolutions Inference (ARI) on functional Magnetic Resonance Image (fMRI) data. As a main feature, it estimates lower bounds for the proportion of active voxels in a set of clusters as, for example, given by a cluster-wise analysis. The method is described in Rosenblatt, Finos, Weeda, Solari, Goeman (2018) <doi:10.1016/j.neuroimage.2018.07.060>.

Version: 0.2
Imports: hommel, RNifti, plyr
Suggests: knitr, rmarkdown
Published: 2018-08-01
DOI: 10.32614/CRAN.package.ARIbrain
Author: Livio Finos, Jelle Goeman, Wouter Weeda, Jonathan Rosenblatt, Aldo Solari
Maintainer: Livio Finos <livio.finos at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ARIbrain results


Reference manual: ARIbrain.pdf
Vignettes: Tutorial for ARIbrain package


Package source: ARIbrain_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ARIbrain_0.2.tgz, r-oldrel (arm64): ARIbrain_0.2.tgz, r-release (x86_64): ARIbrain_0.2.tgz, r-oldrel (x86_64): ARIbrain_0.2.tgz
Old sources: ARIbrain archive

Reverse dependencies:

Reverse imports: pARI, sumSome


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