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>.
Version: |
0.1.0 |
Depends: |
R (≥ 3.5.0) |
Imports: |
extraDistr, RcppAlgos, stats |
Suggests: |
testthat (≥ 3.0.0) |
Published: |
2025-01-29 |
Author: |
Ana Carolina da Cruz [aut, cre] |
Maintainer: |
Ana Carolina da Cruz <adacruz at uwo.ca> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
Materials: |
README |
CRAN checks: |
BayesCPclust results |
Documentation:
Downloads:
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