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mixSSG

Clustering Using Mixtures of Sub Gaussian Stable Distributions

Developed for model-based clustering using the finite mixtures of skewed sub-Gaussian stable distributions developed by Teimouri (2022) <arXiv:2205.14067> and estimating parameters of the symmetric stable distribution within the Bayesian framework.

Versions across snapshots

VersionRepositoryFileSize
2.1.1 rolling linux/jammy R-4.5 mixSSG_2.1.1.tar.gz 83.1 KiB
2.1.1 rolling linux/noble R-4.5 mixSSG_2.1.1.tar.gz 83.1 KiB
2.1.1 rolling source/ R- mixSSG_2.1.1.tar.gz 15.2 KiB
2.1.1 latest linux/jammy R-4.5 mixSSG_2.1.1.tar.gz 83.1 KiB
2.1.1 latest linux/noble R-4.5 mixSSG_2.1.1.tar.gz 83.1 KiB
2.1.1 latest source/ R- mixSSG_2.1.1.tar.gz 15.2 KiB
2.1.1 2026-04-26 source/ R- mixSSG_2.1.1.tar.gz 15.2 KiB
2.1.1 2026-04-23 source/ R- mixSSG_2.1.1.tar.gz 15.2 KiB
2.1.1 2026-04-09 windows/windows R-4.5 mixSSG_2.1.1.zip 86.1 KiB
2.1.1 2025-04-20 source/ R- mixSSG_2.1.1.tar.gz 15.2 KiB

Dependencies (latest)

Imports