HDiR: Directional Highest Density Regions

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

Documentation:

Reference manual: HDiR.pdf

Downloads:

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 (arm64): HDiR_1.1.1.tgz, r-release (x86_64): HDiR_1.1.1.tgz, r-oldrel: HDiR_1.1.1.tgz
Old sources: HDiR archive

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