Model Based Clustering for Spherical Data Using Elliptically Symmetric Distributions
Overview
Model based clustering with spherical data using mixtures of elliptically symmetric distributions, namely mixtures of spherical elliptically symmetric projected Cauchy (SESPC) or mixtures of elliptically symmetric angular Gaussian (ESAG) distributions. The relevant paper is: Perdikis T., Alharbi N. and Tsagris M. (2026). doi:10.48550/arXiv.2605.27496.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK6 OK2026-06-02
Documentation
- Help pages
- 8includes a package overview page
- Examples that run
- 86%6 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- not tracked
- Documented parameters
- not tracked
- Return-value docs
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- Help pages citing references
- 100%
Downloads
Dependencies
Installing sphereclust adds 88 packages (54 with compiled code, 82 MB of source tarballs). Heaviest: BH 14 MB, sf 9.3 MB, ggplot2 6.0 MB.
Code & Tests
People & History
Package metadata
- First published
- 2026-06-01
- Total releases
- 3 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0
- Download size
- 12 KB
Cite
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