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onlineBcp  

Online Bayesian Methods for Change Point Analysis
View on CRAN: Click here


Download and install onlineBcp package within the R console
Install from CRAN:
install.packages("onlineBcp")

Install from Github:
library("remotes")
install_github("cran/onlineBcp")

Install by package version:
library("remotes")
install_version("onlineBcp", "0.1.8")



Attach the package and use:
library("onlineBcp")
Maintained by
Hongyan Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-11
Latest Update: 2022-05-31
Description:
It implements the online Bayesian methods for change point analysis. It can also perform missing data imputation with methods from 'VIM'. The reference is Yigiter A, Chen J, An L, Danacioglu N (2015) . The link to the package is .
How to cite:
Hongyan Xu (2021). onlineBcp: Online Bayesian Methods for Change Point Analysis. R package version 0.1.8, https://cran.r-project.org/web/packages/onlineBcp. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 0.1.0 (2021-01-11 10:20), 0.1.1 (2021-04-28 07:20), 0.1.2 (2021-11-18 16:30), 0.1.3 (2021-11-22 20:20), 0.1.4 (2022-01-07 21:42), 0.1.5 (2022-03-10 16:20), 0.1.6 (2022-05-04 21:30), 0.1.7 (2022-05-16 00:10)
Other packages that cited onlineBcp R package
View onlineBcp citation profile
Other R packages that onlineBcp depends, imports, suggests or enhances
Complete documentation for onlineBcp
Functions, R codes and Examples using the onlineBcp R package
Some associated functions: aCGH . addDatapoint . cnv_H2347 . combine . covid . imputation . online_cp . plot.BayesCP . summary.BayesCP . 
Some associated R codes: data.R . online_cp.R .  Full onlineBcp package functions and examples
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