sumSome: Permutation True Discovery Guarantee by Sum-Based Tests

It allows to quickly perform permutation-based closed testing by sum-based global tests, and construct lower confidence bounds for the TDP, simultaneously over all subsets of hypotheses. As a main feature, it produces simultaneous lower confidence bounds for the proportion of active voxels in different clusters for fMRI cluster analysis. Details may be found in Vesely, Finos, and Goeman (2020) <arXiv:2102.11759>.

Version: 1.1.0
Imports: Rcpp (≥ 1.0.5), pARI, ARIbrain, RNifti
LinkingTo: Rcpp
Published: 2021-11-24
Author: Anna Vesely
Maintainer: Anna Vesely <anna.vesely at phd.unipd.it>
BugReports: https://github.com/annavesely/sumSome/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/annavesely/sumSome
NeedsCompilation: yes
Language: en-US
Materials: README NEWS
CRAN checks: sumSome results

Documentation:

Reference manual: sumSome.pdf

Downloads:

Package source: sumSome_1.1.0.tar.gz
Windows binaries: r-devel: sumSome_1.1.0.zip, r-devel-UCRT: sumSome_1.1.0.zip, r-release: sumSome_1.1.0.zip, r-oldrel: sumSome_1.1.0.zip
macOS binaries: r-release (arm64): sumSome_1.1.0.tgz, r-release (x86_64): sumSome_1.1.0.tgz, r-oldrel: sumSome_1.1.0.tgz

Linking:

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