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onlineBcp

0.1.8Package record

Online Bayesian Methods for Change Point Analysis

0packages depend
2.9Kdownloads / year
57.8%test coverage
13/13flavors OK

Overview

About

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) doi:10.1080/02664763.2014.1001330. The link to the package is https://CRAN.R-project.org/package=onlineBcp.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-release-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • NOTE12 OK, 1 NOTE2026-06-07
Show 1 earlier changeHide 1 earlier change
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.8
READMENoVignettesYes · 1 · dynamicNEWSYes · 33% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
9
Examples that run
100%1 run in a plain check
Exported functions with examples
0%
Documented parameters
75%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

2.9K
CRAN downloads in the past year
Rank #17,219 · ~8/day · ~241/mo
Daily download trend is not available in this view yet.
32330 days
73990 days
2.9K1 year
Compare downloads with other packages →
Also on83 r2u3 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing onlineBcp adds 17 packages (14 with compiled code, 30 MB of source tarballs). Heaviest: data.table 5.7 MB, VIM 4.5 MB, sp 4.3 MB.

Depends (1)
R >= 3.1.0
Imports (1)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Maintainer since 0.1.0 (2021), Author
Author
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.8Latest
    record
    2022-05-31 · current release · diff ↗
  • 0.1.7
    record
    2022-05-16 · diff ↗
  • 0.1.6
    record
    2022-05-04 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.5
    record
    2022-03-10 · diff ↗
  • 0.1.4
    record
    2022-01-07 · diff ↗ ·
    added 1 export
    addDatapoint
  • 0.1.3
    record
    2021-11-22 · diff ↗
  • 0.1.2
    record
    2021-11-18 · diff ↗ ·
    added 1 export
    combine
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.1
    record
    2021-04-28 · diff ↗
  • 0.1.0
    record
    2021-01-11
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-01-11
Total releases
9 / 5 yrs
License
GPL
Minimum R
≥ 3.1.0
Bundled data
36 KB / 3 files
Download size
4.1 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("onlineBcp")
Xu, H., Chen, J., & Yigiter, A. (2022). onlineBcp: Online Bayesian Methods for Change Point Analysis (Version 0.1.8) [Computer software]. https://doi.org/10.32614/CRAN.package.onlineBcp

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for onlineBcp version 0.1.8 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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