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AGCA4extremes

0.1.0

Anchored Geodesic Component Analysis for Extremes

0packages depend
918downloads / year
77.2%test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.1.0
  • Initial development version.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK7 OK2026-07-18
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 357 wordsVignettesNoNEWSYes · 67% structured · mentions 0.1.0Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
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

918
CRAN downloads in the past year
Rank #11,934 · ~3/day · ~77/mo
Daily download trend is not available in this view yet.
26430 days
89590 days
9181 year
Compare downloads with other packages →
Also on52 r2u22 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-07-09
Responsiveness
not measured
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows

Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
lintr
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing AGCA4extremes adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 4.1.0
Imports (3)
graphicsRcppstats
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • 0.1.0Latest
    2026-07-17 · current release
  • R
    R 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for AGCA4extremes version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

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.

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