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-4.7-any)onlineBcp_0.1.8.tar.gz(r-4.6-any)
onlineBcp_0.1.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
onlineBcp/json (API)

# 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:

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 8 scripts 301 downloads 4 exports 107 dependencies

Last updated from:d9528721c3. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	157
source / vignettes	OK	226
linux-release-x86_64	OK	159
wasm-release	OK	175

Exports:addDatapoint combine imputation online_cp

Dependencies:abind backports bbotk boot broom car carData checkmate class cli codetools colorspace cowplot cpp11 data.table DEoptimR Deriv digest doBy dplyr e1071 evaluate farver forecast Formula fracdiff future future.apply generics ggplot2 globals glue gtable isoband jsonlite labeling laeken lattice lgr lifecycle listenv lme4 lmtest magrittr MASS Matrix MatrixModels matrixStats mgcv minqa mirai mlbench mlr3 mlr3learners mlr3measures mlr3misc mlr3pipelines mlr3tuning modelr moocore nanonext nlme nloptr nnet numDeriv palmerpenguins paradox parallelly pbkrtest pillar pkgconfig proxy PRROC purrr quantreg R6 ranger rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang robustbase S7 scales sp SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 uuid vcd vctrs VIM viridisLite withr xgboost zoo

A note on this update

Rendered fromoutput-comparison.Rmdusingknitr::rmarkdown

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

Package: onlineBcp 0.1.8

onlineBcp: Online Bayesian Methods for Change Point Analysis

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)