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