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

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 7 scripts 229 downloads 4 exports 76 dependencies

Last updated 3 years agofrom:d9528721c3. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 22 2025
R-4.5-linuxOKJan 22 2025

Exports:addDatapointcombineimputationonline_cp

Dependencies:abindbackportsbootbroomcarcarDataclassclicolorspacecowplotcpp11data.tableDEoptimRDerivdoBydplyre1071fansifarverFormulagenericsggplot2gluegtableisobandlabelinglaekenlatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigproxypurrrquantregR6rangerrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrobustbasescalesspSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vcdvctrsVIMviridisLitewithrzoo

A note on this update

Rendered fromoutput-comparison.Rmdusingknitr::rmarkdownon Jan 22 2025.

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