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npcp

Some Nonparametric CUSUM Tests for Change-Point Detection in Possibly Multivariate Observations

Installation

About

Provides nonparametric CUSUM tests for detecting changes in possibly serially dependent univariate or low-dimensional multivariate observations. Retrospective tests sensitive to changes in the expectation, the variance, the covariance, the autocovariance, the distribution function, Spearman's rho, Kendall's tau, Gini's mean difference, and the copula are provided, as well as a test for detecting changes in the distribution of independent block maxima (with environmental studies in mind). The package also contains a test sensitive to changes in the autocopula and a combined test of stationarity sensitive to changes in the distribution function and the autocopula. The latest additions are an open-end sequential test based on the retrospective CUSUM statistic that can be used for monitoring changes in the mean of possibly serially dependent univariate observations, as well as closed-end and open-end sequential tests based on empirical distribution functions that can be used for monitoring changes in the contemporary distribution of possibly serially dependent univariate or low-dimensional multivariate observations.

Key Metrics

Version 0.2-5
R ≥ 3.5.0
Published 2023-02-09 449 days ago
Needs compilation? yes
License GPL (≥ 3)
License LICENCE
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Maintainer

Maintainer

Ivan Kojadinovic

ivan.kojadinovic@univ-pau.fr

Authors

Ivan Kojadinovic

aut / cre

Alex Verhoijsen

ctb

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

npcp archive

Depends

R ≥ 3.5.0

Imports

stats
sandwich

Suggests

copula