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. (2020+). Modelling non-stationary extremes of storm severity: comparing parametric and semi-parametric inference. Environmetrics (to appear).

Version: 0.1.0
Depends: R (≥ 3.6)
Imports: parallel, foreach, doParallel, mgcv, circular, NPCirc, ggplot2, utils, stats
Suggests: plotly, testthat, knitr, rmarkdown
Published: 2021-01-21
Author: Evandro Konzen
Maintainer: Evandro Konzen <e.konzen at reading.ac.uk>
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_0.1.0.tar.gz
Windows binaries: r-devel: circularEV_0.1.0.zip, r-release: circularEV_0.1.0.zip, r-oldrel: circularEV_0.1.0.zip
macOS binaries: r-release (arm64): circularEV_0.1.0.tgz, r-release (x86_64): circularEV_0.1.0.tgz, r-oldrel: circularEV_0.1.0.tgz

Linking:

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