We provide an R tool for nonparametric plug-in estimation of Highest Density Regions (HDRs) in the directional setting. Concretely, circular and spherical regions can be reconstructed from a data sample following Saavedra-Nieves and Crujeiras (2020) <arXiv:2009.08915>. This library also contains two real datasets in the circular and spherical settings. The first one concerns a problem from animal orientation studies and the second one is related to earthquakes occurrences.
| Version: | 1.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | NPCirc, circular, rgl, Directional, movMF, graphics, stats, grDevices |
| Suggests: | ggplot2, maps, mapproj |
| Published: | 2021-03-31 |
| Author: | Paula Saavedra-Nieves [aut, cre], Rosa M Crujeiras [aut], Andrés Prieto [ctb], Felicita Scapini [dtc] |
| Maintainer: | Paula Saavedra-Nieves <paula.saavedra at usc.es> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | HDiR results |
| Reference manual: | HDiR.pdf |
| Package source: | HDiR_1.1.1.tar.gz |
| Windows binaries: | r-devel: HDiR_1.1.1.zip, r-release: HDiR_1.1.1.zip, r-oldrel: HDiR_1.1.1.zip |
| macOS binaries: | r-release: HDiR_1.1.1.tgz, r-oldrel: HDiR_1.1.1.tgz |
| Old sources: | HDiR archive |
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