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
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:

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