Package: ocp 0.1.1

ocp: Bayesian Online Changepoint Detection

Implements the Bayesian online changepoint detection method by Adams and MacKay (2007) <arxiv:0710.3742> for univariate or multivariate data. Gaussian and Poisson probability models are implemented. Provides post-processing functions with alternative ways to extract changepoints.

Authors:Andrea Pagotto

ocp_0.1.1.tar.gz
ocp_0.1.1.zip(r-4.5)ocp_0.1.1.zip(r-4.4)ocp_0.1.1.zip(r-4.3)
ocp_0.1.1.tgz(r-4.5-any)ocp_0.1.1.tgz(r-4.4-any)ocp_0.1.1.tgz(r-4.3-any)
ocp_0.1.1.tar.gz(r-4.5-noble)ocp_0.1.1.tar.gz(r-4.4-noble)
ocp_0.1.1.tgz(r-4.4-emscripten)ocp_0.1.1.tgz(r-4.3-emscripten)
ocp.pdf |ocp.html
ocp/json (API)

# Install 'ocp' in R:
install.packages('ocp', repos = c('https://anjapago.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/anjapago/ocp/issues

Datasets:

On CRAN:

Conda:

4.06 score 1 stars 23 scripts 161 downloads 5 exports 0 dependencies

Last updated 6 years agofrom:9b3e23bc79. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 15 2025
R-4.5-winNOTEMar 15 2025
R-4.5-macNOTEMar 15 2025
R-4.5-linuxNOTEMar 15 2025
R-4.4-winNOTEMar 15 2025
R-4.4-macNOTEMar 15 2025
R-4.4-linuxNOTEMar 15 2025
R-4.3-winOKMar 15 2025
R-4.3-macOKMar 15 2025

Exports:const_hazardinitOCPDnegbinpdfonlineCPDstudentpdf

Dependencies:

Introduction to ocp Package

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Mar 15 2025.

Last update: 2019-04-19
Started: 2019-04-19