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:Livio Finos, Jelle Goeman, Wouter Weeda, Jonathan Rosenblatt, Aldo Solari

ARIbrain_0.2.tar.gz
ARIbrain_0.2.tar.gz(r-4.5-noble)ARIbrain_0.2.tar.gz(r-4.4-noble)
ARIbrain_0.2.tgz(r-4.4-emscripten)ARIbrain_0.2.tgz(r-4.3-emscripten)
ARIbrain.pdf |ARIbrain.html✨
ARIbrain/json (API)

# Install 'ARIbrain' in R:
install.packages('ARIbrain', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.86 score 1 stars 2 packages 12 scripts 212 downloads 2 exports 4 dependencies

Last updated 6 years agofrom:877e9fb0a3. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-linuxOKNov 03 2024

Exports:ARIcluster_threshold

Dependencies:hommelplyrRcppRNifti

Vignette for ARIbrain

Livio Finos, Jelle Goeman, Wouter Weeda, Jonathan Rosenblatt, Aldo Solari

Rendered fromARIbrain_example.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2018-08-01
Started: 2018-07-31