Package: onlineBcp 0.1.8

Hongyan Xu

onlineBcp: Online Bayesian Methods for Change Point Analysis

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>.

Authors:Hongyan Xu [cre, aut], Ayten Yigiter [aut], Jie Chen [aut]

onlineBcp_0.1.8.tar.gz
onlineBcp_0.1.8.tar.gz(r-4.5-noble)onlineBcp_0.1.8.tar.gz(r-4.4-noble)
onlineBcp_0.1.8.tgz(r-4.4-emscripten)onlineBcp_0.1.8.tgz(r-4.3-emscripten)
onlineBcp.pdf |onlineBcp.html✨
onlineBcp/json (API)
NEWS

# Install 'onlineBcp' in R:
install.packages('onlineBcp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • aCGH - Transformed aCGH data
  • cnv_H2347 - GC-corrected data for copy number variation
  • covid - US COVID-19 data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 1 stars 240 downloads 4 exports 76 dependencies

Last updated 3 years agofrom:d9528721c3. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-linuxOKMar 23 2025
R-4.4-linuxOKMar 23 2025

Exports:addDatapointcombineimputationonline_cp

Dependencies:abindbackportsbootbroomcarcarDataclassclicolorspacecowplotcpp11data.tableDEoptimRDerivdoBydplyre1071fansifarverFormulagenericsggplot2gluegtableisobandlabelinglaekenlatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigproxypurrrquantregR6rangerrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrobustbasescalesspSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vcdvctrsVIMviridisLitewithrzoo

A note on this update

Rendered fromoutput-comparison.Rmdusingknitr::rmarkdownon Mar 23 2025.

Last update: 2022-05-31
Started: 2022-05-31