Introduction | Sintax and parameters | Performing the analysis from nifti (nii) files | Making the map cluster.nii.gz with FSL | ARI analysis | other ARI examples | using arrays | Define threshold and clusters on the basis of concentration set (optimal threshold)
Package: ARIbrain 0.2
Livio Finos
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>.
Authors:
ARIbrain_0.2.tar.gz
ARIbrain_0.2.tar.gz(r-4.7-any)ARIbrain_0.2.tar.gz(r-4.6-any)
ARIbrain_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ARIbrain/json (API)
| # Install 'ARIbrain' in R: |
| install.packages('ARIbrain', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:877e9fb0a3. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 106 | ||
| source / vignettes | OK | 136 | ||
| linux-release-x86_64 | OK | 157 | ||
| wasm-release | OK | 108 |
Exports:ARIcluster_threshold
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| All-Resolutions Inference | ARIbrain-package |
| Valid Circular Inference (ARI) for Brain Imaging | ARI |
| cluster_threshold | cluster_threshold |