ARIbrain: All-Resolution Inference (original) (raw)
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 |
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