HDiR
Directional Highest Density Regions
We provide an R tool for computation and nonparametric plug-in estimation of Highest Density Regions (HDRs) and general level sets in the directional setting. Concretely, circular and spherical HDRs can be reconstructed from a data sample following Saavedra-Nieves and Crujeiras (2021) <doi:10.1007/s11634-021-00457-4>. 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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.3 |
rolling source/ R- | HDiR_1.1.3.tar.gz |
196.5 KiB |
1.1.3 |
rolling linux/jammy R-4.5 | HDiR_1.1.3.tar.gz |
353.5 KiB |
1.1.3 |
rolling linux/noble R-4.5 | HDiR_1.1.3.tar.gz |
353.4 KiB |
1.1.3 |
latest source/ R- | HDiR_1.1.3.tar.gz |
196.5 KiB |
1.1.3 |
latest linux/jammy R-4.5 | HDiR_1.1.3.tar.gz |
353.5 KiB |
1.1.3 |
latest linux/noble R-4.5 | HDiR_1.1.3.tar.gz |
353.4 KiB |
1.1.3 |
2026-04-23 source/ R- | HDiR_1.1.3.tar.gz |
196.5 KiB |
1.1.3 |
2026-04-09 windows/windows R-4.5 | HDiR_1.1.3.zip |
356.9 KiB |
1.1.3 |
2025-04-20 source/ R- | HDiR_1.1.3.tar.gz |
196.5 KiB |