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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 unipd.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: ARIbrain results

Documentation:

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

Downloads:

Package source: ARIbrain_0.2.tar.gz
Windows binaries: r-devel: ARIbrain_0.2.zip, r-release: ARIbrain_0.2.zip, r-oldrel: ARIbrain_0.2.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ARIbrain to link to this page.

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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