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Sequential and Batch Change Detection Using Parametric and Nonparametric Methods

Installation

About

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 .

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Key Metrics

Version 2.3
R ≥ 2.15.0
Published 2020-10-08 1306 days ago
Needs compilation? yes
License GPL-3
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Maintainer

Maintainer

Gordon J. Ross

gordon@gordonjross.co.uk

Authors

Gordon J. Ross

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cpm archive

Depends

R ≥ 2.15.0
methods

Reverse Imports

PCDimension