Package: cpm 2.3

cpm: Sequential and Batch Change Detection Using Parametric and Nonparametric Methods

Sequential and batch change detection for univariate data streams, using the change point model framework. Functions are provided to allow nonparametric distribution-free change detection in the mean, variance, or general distribution of a given sequence of observations. Parametric change detection methods are also provided for Gaussian, Bernoulli and Exponential sequences. Both the batch (Phase I) and sequential (Phase II) settings are supported, and the sequences may contain either a single or multiple change points. A full description of this package is available in Ross, G.J (2015) - "Parametric and nonparametric sequential change detection in R" available at <https://www.jstatsoft.org/article/view/v066i03>.

Authors:Gordon J. Ross

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cpm.pdf |cpm.html
cpm/json (API)

# Install 'cpm' in R:
install.packages('cpm', repos = c('https://gordonjamesross.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda-Forge:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

3.89 score 1 stars 5 packages 74 scripts 749 downloads 7 mentions 9 exports 0 dependencies

Last updated 4 years agofrom:7a4befb2ec. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 01 2025
R-4.5-win-x86_64OKMar 01 2025
R-4.5-mac-x86_64OKMar 01 2025
R-4.5-mac-aarch64OKMar 01 2025
R-4.5-linux-x86_64OKMar 01 2025
R-4.4-win-x86_64OKMar 01 2025
R-4.4-mac-x86_64OKMar 01 2025
R-4.4-mac-aarch64OKMar 01 2025
R-4.3-win-x86_64OKMar 01 2025
R-4.3-mac-x86_64OKMar 01 2025
R-4.3-mac-aarch64OKMar 01 2025

Exports:changeDetectedcpmResetdetectChangePointdetectChangePointBatchgetBatchThresholdgetStatisticsmakeChangePointModelprocessObservationprocessStream

Dependencies: