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BayesCPclust

A Bayesian Approach for Clustering Constant-Wise Change-Point Data

A Gibbs sampler algorithm was developed to estimate change points in constant-wise data sequences while performing clustering simultaneously. The algorithm is described in da Cruz, A. C. and de Souza, C. P. E "A Bayesian Approach for Clustering Constant-wise Change-point Data" <doi:10.48550/arXiv.2305.17631>.

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VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 BayesCPclust_0.1.0.tar.gz 94.6 KiB
0.1.0 rolling linux/noble R-4.5 BayesCPclust_0.1.0.tar.gz 94.6 KiB
0.1.0 rolling source/ R- BayesCPclust_0.1.0.tar.gz 39.7 KiB
0.1.0 latest linux/jammy R-4.5 BayesCPclust_0.1.0.tar.gz 94.6 KiB
0.1.0 latest linux/noble R-4.5 BayesCPclust_0.1.0.tar.gz 94.6 KiB
0.1.0 latest source/ R- BayesCPclust_0.1.0.tar.gz 39.7 KiB
0.1.0 2026-04-26 source/ R- BayesCPclust_0.1.0.tar.gz 39.7 KiB
0.1.0 2026-04-23 source/ R- BayesCPclust_0.1.0.tar.gz 39.7 KiB
0.1.0 2026-04-09 windows/windows R-4.5 BayesCPclust_0.1.0.zip 98.6 KiB
0.1.0 2025-04-20 source/ R- BayesCPclust_0.1.0.tar.gz 39.7 KiB

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