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harbinger  

A Unified Time Series Event Detection Framework
View on CRAN: Click here


Download and install harbinger package within the R console
Install from CRAN:
install.packages("harbinger")

Install from Github:
library("remotes")
install_github("cran/harbinger")

Install by package version:
library("remotes")
install_version("harbinger", "1.1.717")



Attach the package and use:
library("harbinger")
Maintained by
Eduardo Ogasawara
[Scholar Profile | Author Map]
First Published: 2023-07-17
Latest Update: 2023-11-11
Description:
By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In the literature, there are several methods for detecting events. However, searching for a suitable time series method is a complex task, especially considering that the nature of events is often unknown. This work presents Harbinger, a framework for integrating and analyzing event detection methods. Harbinger contains several state-of-the-art methods described in Salles et al. (2020) .
How to cite:
Eduardo Ogasawara (2023). harbinger: A Unified Time Series Event Detection Framework. R package version 1.1.717, https://cran.r-project.org/web/packages/harbinger. Accessed 09 May. 2025.
Previous versions and publish date:
1.0.707 (2023-07-17 16:10), 1.0.727 (2023-11-04 14:50), 1.0.737 (2023-11-11 11:53), 1.0.747 (2024-03-26 08:00), 1.0.767 (2024-04-01 00:10), 1.0.777 (2024-05-05 00:00), 1.0.787 (2024-05-13 13:33), 1.1.707 (2024-12-03 21:00), 1.1.717 (2025-04-24 04:40)
Other packages that cited harbinger R package
View harbinger citation profile
Other R packages that harbinger depends, imports, suggests or enhances
Complete documentation for harbinger
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