circularEV: Extreme Value Analysis for Circular Data

General functions for performing extreme value analysis on a circular domain as part of the statistical methodology in the paper by Konzen, E., Neves, C., and Jonathan, P. (2021). Modeling nonstationary extremes of storm severity: Comparing parametric and semiparametric inference. Environmetrics, 32(4), e2667.

Version: 0.1.1
Depends: R (≥ 3.6)
Imports: parallel, foreach, doParallel, mgcv, circular, NPCirc, ggplot2, utils, stats
Suggests: plotly, testthat, knitr, rmarkdown
Published: 2022-05-13
Author: Evandro Konzen
Maintainer: Evandro Konzen <circularev.r at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: circularEV results

Documentation:

Reference manual: circularEV.pdf
Vignettes: Local methods example
Spline ML example

Downloads:

Package source: circularEV_0.1.1.tar.gz
Windows binaries: r-devel: circularEV_0.1.1.zip, r-release: circularEV_0.1.1.zip, r-oldrel: circularEV_0.1.0.zip
macOS binaries: r-release (arm64): circularEV_0.1.1.tgz, r-oldrel (arm64): circularEV_0.1.1.tgz, r-release (x86_64): circularEV_0.1.1.tgz, r-oldrel (x86_64): circularEV_0.1.1.tgz
Old sources: circularEV archive

Linking:

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