Package: breakpoint 1.2

Priyadarshana W.J.R.M.

breakpoint: An R Package for Multiple Break-Point Detection via the Cross-Entropy Method

Implements the Cross-Entropy (CE) method, which is a model based stochastic optimization technique to estimate both the number and their corresponding locations of break-points in continuous and discrete measurements (Priyadarshana and Sofronov (2015), Priyadarshana and Sofronov (2012a), Priyadarshana and Sofronov (2012b)).

Authors:Priyadarshana W.J.R.M. and Georgy Sofronov

breakpoint_1.2.tar.gz
breakpoint_1.2.zip(r-4.7-any)breakpoint_1.2.zip(r-4.6-any)breakpoint_1.2.zip(r-4.5-any)
breakpoint_1.2.tgz(r-4.6-any)breakpoint_1.2.tgz(r-4.5-any)
breakpoint_1.2.tar.gz(r-4.7-any)breakpoint_1.2.tar.gz(r-4.6-any)
breakpoint_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
breakpoint/json (API)

# Install 'breakpoint' in R:

install.packages('breakpoint', repos = c('https://stitam.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/madawaweer/breakpoint/issues

Datasets:

ch1.GM03563 - Fibroblast cell line (GM03563) data

On CRAN:

2.30 score 40 scripts 90 downloads 9 exports 34 dependencies

Last updated from:3925ec732a. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	154
source / vignettes	OK	150
linux-release-x86_64	NOTE	139
macos-release-arm64	NOTE	181
macos-oldrel-arm64	NOTE	144
windows-devel	NOTE	100
windows-release	NOTE	100
windows-oldrel	NOTE	111
wasm-release	OK	104

Exports:CE.NB CE.NB.Init CE.Normal.Init.Mean CE.Normal.Init.MeanVar CE.Normal.Mean CE.Normal.MeanVar CE.ZINB CE.ZINB.Init profilePlot

Dependencies:cli codetools cpp11 doParallel expm farver foreach generics ggplot2 glue gtable isoband iterators labeling lattice lifecycle magrittr MASS Matrix msm mvtnorm pillar pkgconfig R6 RColorBrewer rlang S7 scales survival tibble utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Multiple Break-Point Detection via the Cross-Entropy Method	breakpoint-package breakpoint
Multiple Break-point Detection via the CE Method with Negative Binomial Distribution	CE.NB
Multiple Break-point Detection via the CE Method with Negative Binomial Distribution with initial locations	CE.NB.Init
Multiple break-point detection via the CE method for continuous data with initial locations (mean levels)	CE.Normal.Init.Mean
Multiple break-point detection via the CE method for continuous data with initial locations (both mean and variance changes)	CE.Normal.Init.MeanVar
Multiple Break-point Detection via the CE Method for Continuous Data (Mean levels)	CE.Normal.Mean
Multiple break-point detection via the CE method for continuous data (both mean and variance changes)	CE.Normal.MeanVar
Multiple Break-point Detection via the CE Method with Zero-Inflated Negative Binomial Distribution	CE.ZINB
Multiple Break-point Detection via the CE Method with Zero-Inflated Negative Binomial Distribution with initial locations	CE.ZINB.Init
Fibroblast cell line (GM03563) data	ch1.GM03563
Mean profile plot	profilePlot