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AGCA4extremes: Anchored Geodesic Component Analysis for Extremes

Implements anchored geodesic component analysis for multivariate extremes. The package provides Pareto and rank-Pareto marginal standardization, top-k angular extraction, anchored eigensolutions, reconstruction, diagnostics, nonparametric bootstrap tools, and plotting methods for benchmark-relative angular variation.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: graphics, Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0)
Published: 2026-07-17
DOI: 10.32614/CRAN.package.AGCA4extremes
Author: Alberto Quaini [aut, cre]
Maintainer: Alberto Quaini <alberto91quaini at gmail.com>
BugReports: https://github.com/a91quaini/AGCA4extremes/issues
License: GPL-3
URL: https://github.com/a91quaini/AGCA4extremes
NeedsCompilation: yes
SystemRequirements: C++17
Language: en-US
Citation: AGCA4extremes citation info
Materials: README, NEWS
CRAN checks: AGCA4extremes results

Documentation:

Reference manual: AGCA4extremes.html , AGCA4extremes.pdf

Downloads:

Package source: AGCA4extremes_0.1.0.tar.gz
Windows binaries: r-devel: AGCA4extremes_0.1.0.zip, r-release: AGCA4extremes_0.1.0.zip, r-oldrel: AGCA4extremes_0.1.0.zip
macOS binaries: r-release (arm64): AGCA4extremes_0.1.0.tgz, r-oldrel (arm64): AGCA4extremes_0.1.0.tgz, r-release (x86_64): AGCA4extremes_0.1.0.tgz, r-oldrel (x86_64): AGCA4extremes_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=AGCA4extremes 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.
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