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.

4 exports 1 stars 0.00 score 72 dependencies 7 scripts 268 downloads

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

Target	Result	Date
Doc / Vignettes	OK	Aug 25 2024
R-4.5-linux	OK	Aug 25 2024

Exports:addDatapoint combine imputation online_cp

Dependencies:abind backports boot broom car carData class cli colorspace cowplot cpp11 data.table DEoptimR Deriv doBy dplyr e1071 fansi farver generics ggplot2 glue gtable isoband labeling laeken lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr munsell nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig proxy purrr quantreg R6 ranger RColorBrewer Rcpp RcppEigen rlang robustbase scales sp SparseM stringi stringr survival tibble tidyr tidyselect utf8 vcd vctrs VIM viridisLite withr zoo

A note on this update

Rendered fromoutput-comparison.Rmdusingknitr::rmarkdownon Aug 25 2024.

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

Citation

Readme and manuals

Help Manual

Help page	Topics
Transformed aCGH data	aCGH
Add one data point	addDatapoint
GC-corrected data for copy number variation	cnv_H2347
Combine two BayesCP objects	combine
US COVID-19 data	covid
Impute missing data	imputation
Online change point detection algorithm for normally distributed data.	online_cp
Plot BayesCP object	plot.BayesCP
Summarize BayesCP object	summary.BayesCP