onlineBcp: An R package for online change point detection using a Bayesian approach

Hongyan Xu, Ayten Yiğiter, Jie Chen

Open source

DOI
10.1016/j.softx.2022.100999
Published
2022-01
Container
SoftwareX
Publisher
Elsevier BV
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.softx.2022.100999,
  title = {onlineBcp: An R package for online change point detection using a Bayesian approach},
  author = {Hongyan Xu and Ayten Yiğiter and Jie Chen},
  year = {2022},
  journal = {SoftwareX},
  doi = {10.1016/j.softx.2022.100999},
  url = {https://doi.org/10.1016/j.softx.2022.100999}
}

RIS

TY  - JOUR
TI  - onlineBcp: An R package for online change point detection using a Bayesian approach
AU  - Hongyan Xu
AU  - Ayten Yiğiter
AU  - Jie Chen
PY  - 2022
JO  - SoftwareX
DO  - 10.1016/j.softx.2022.100999
UR  - https://doi.org/10.1016/j.softx.2022.100999
ER  - 

APA

Xu, H., Yiğiter, A., & Chen, J. (2022). onlineBcp: An R package for online change point detection using a Bayesian approach. SoftwareX. https://doi.org/10.1016/j.softx.2022.100999

Source records