AGCA4extremes
0.1.0Anchored Geodesic Component Analysis for Extremes
Overview
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.
- Initial development version.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-07-18
Documentation
- Help pages
- 28 (1 internal)includes a package overview page
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 9%
- Documented parameters
- 92%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
6 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/a91quaini/agca4extremes on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows
Dependencies
Installing AGCA4extremes adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
Datasets
People & History
- 0.1.0Latest2026-07-17 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-17
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 696 KB / 1 file
- Download size
- 726 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("AGCA4extremes")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.