BayesCPclust
cranv0.1.0A 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.23
License MIT + file LICENSE0 versions1 maintainers3 deps74 weekly dl
https://CRAN.R-project.org/package=BayesCPclust38
/ 100
Health
use with caution
[email protected] low health (38/100) — consider alternatives
- Low health score (38/100)
Health breakdown0 – 100
5/25
maintenance
0/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known
Health History
Dependency Tree
License Audit
Dependencies (3)
API access
Get this data programmatically — free, no authentication.
curl https://depscope.dev/api/check/cran/BayesCPclustFirst published · 2025-01-29 16:52:43
Last updated · 2025-01-29T15:50:06+00:00