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'))

Peer review:

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 273 downloads 4 exports 73 dependencies

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

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-linuxOKNov 23 2024

Exports:addDatapointcombineimputationonline_cp

Dependencies:abindbackportsbootbroomcarcarDataclassclicolorspacecowplotcpp11data.tableDEoptimRDerivdoBydplyre1071fansifarverFormulagenericsggplot2gluegtableisobandlabelinglaekenlatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigproxypurrrquantregR6rangerRColorBrewerRcppRcppEigenrlangrobustbasescalesspSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vcdvctrsVIMviridisLitewithrzoo

A note on this update

Rendered fromoutput-comparison.Rmdusingknitr::rmarkdownon Nov 23 2024.

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