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pARI: Permutation-Based All-Resolutions Inference

Computes the All-Resolution Inference method in the permutation framework, i.e., simultaneous lower confidence bounds for the number of true discoveries. <doi:10.1002/sim.9725>.

Version: 1.1.2
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.3), matrixStats, RNifti, stats, grDevices, graphics, plyr, ARIbrain, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2024-09-06
DOI: 10.32614/CRAN.package.pARI
Author: Angela Andreella ORCID iD [aut, cre] (Main author)
Maintainer: Angela Andreella <angela.andreella at unive.it>
BugReports: https://github.com/angeella/pARI/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/angeella/pARI
NeedsCompilation: yes
Language: en-US
Materials: README NEWS
CRAN checks: pARI results

Documentation:

Reference manual: pARI.pdf
Vignettes: intro (source, R code)

Downloads:

Package source: pARI_1.1.2.tar.gz
Windows binaries: r-devel: pARI_1.1.2.zip, r-release: pARI_1.1.2.zip, r-oldrel: pARI_1.1.2.zip
macOS binaries: r-release (arm64): pARI_1.1.2.tgz, r-oldrel (arm64): pARI_1.1.2.tgz, r-release (x86_64): pARI_1.1.2.tgz, r-oldrel (x86_64): pARI_1.1.2.tgz
Old sources: pARI archive

Reverse dependencies:

Reverse imports: sumSome

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pARI to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.