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r-changepoints

Community

An R Package for Change Point Localisation

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::r-changepoints

Usage Tracking

1.1.0
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Downloads (Last 6 months): 0

Description

Performs a series of offline and/or online change-point localisation algorithms for

univariate mean Wang, Yu and Rinaldo (2020) Yu, Padilla, Wang and Rinaldo (2020) univariate polynomials Yu, Chatterjee and Xu (2021) univariate and multivariate nonparametric settings Padilla, Yu, Wang and Rinaldo (2021) Padilla, Yu, Wang and Rinaldo (2021) high-dimensional covariances Wang, Yu and Rinaldo (2021) high-dimensional networks with and without missing values Wang, Yu and Rinaldo (2021) Yu, Padilla, Wang and Rinaldo (2021) Dubey, Xu and Yu (2021) high-dimensional linear regression models Rinaldo, Wang, Wen, Willett and Yu (2021) Xu, Wang, Zhao, and Yu (2022) high-dimensional vector autoregressive models Wang, Yu, Rinaldo and Willett (2019) high-dimensional self exciting point processes Wang, Yu and Willett (2020) dependent dynamic nonparametric random dot product graphs Padilla, Yu and Priebe (2019) robust univariate mean against adversarial attacks Li and Yu (2021)

About

Summary

An R Package for Change Point Localisation

Last Updated

Jan 20, 2023 at 14:51

License

GPL-3.0-or-later

Supported Platforms

macOS-64
macOS-arm64
win-64
linux-64