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cpm (version 2.3)

Sequential and Batch Change Detection Using Parametric and Nonparametric Methods

Description

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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Version

Install

install.packages('cpm')

Monthly Downloads

1,421

Version

2.3

License

GPL-3

Maintainer

Gordon Ross

Last Published

October 8th, 2020

Functions in cpm (2.3)

getStatistics

Returns the Test Statistics Associated With A CPM S4 Object
processObservation

Process an Observation Using a CPM S4 Object.
makeChangePointModel

Creates a CPM S4 Object
getBatchThreshold

Returns the Threshold Associated with a Type I Error Probability .
changeDetected

Tests Whether a CPM S4 Object Has Encountered a Change Point
cpm-package

The Change Point Model Package
detectChangePoint

Detect a Single Change Point in a Sequence
cpmReset

Resets a CPM S4 Object
ForexData

Foreign Exchange Data
detectChangePointBatch

Detect a Single Change Point in a Sequence
processStream

Detects Multiple Change Points in a Sequence