DESCRIPTION

Package: ARIbrain
Type: Package
Title: All-Resolutions Inference
Version: 0.9
Date: 2025-01-11
Author: Livio Finos, Jelle Goeman, Wouter Weeda, Jonathan Rosenblatt, Aldo Solari, Xu Chen
Maintainer: Livio Finos <livio.finos@unipd.it>, Wouter Weeda <w.d.weeda@fsw.leidenuniv.nl>, Xu Chen <xc23776@essex.ac.uk>
Description: 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 (true discovery proportion, TDP) 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>. Reversely, given a TDP theshold, it can rapidly generate maximal clusters using the adaptive thresholding algorithm, which is described in Chen, Goeman, Krebs, Meijer, Weeda (2023) <https://doi.org/10.48550/arXiv.2206.13587>.
License: GPL (>= 2)
Suggests: knitr, rmarkdown
Imports: fastcluster, hommel, plyr, Rcpp (>= 1.0.7), RNifti
VignetteBuilder: knitr
LinkingTo: Rcpp, hommel
Depends: hommel
NeedsCompilation: yes
Packaged: 2020-12-14 11:27:29 UTC; wouter
Repository: CRAN
Date/Publication: 2020-12-14 12:20:02 UTC
RoxygenNote: 7.3.2
Encoding: UTF-8
Collate: 
    'ARI.R'
    'ARICluster.R'
    'ARIBrainCluster.R'
    'ARIbrain-package.R'
    'RcppExports.R'
    'TDPClusters.R'
    'TDPBrainClusters.R'
    'cluster_threshold.R'
    'get_summary_cluster.R'
    'summary_hommel_roi.R'
    'utils.R'