BreakoutDetection-package: Breakout Detector: Energy Divisive with Medians
In twitter/BreakoutDetection: Breakout Detection via Robust E-Statistics
Description
Details
Author(s)
References
Description
This package performs single and multiple change point analysis of univariate time series.
The procedures in this package are designed to be robust to the existence of anomalies/outliers
within the time series.
Details
Package: BreakoutDetection
Type: Package
Version: 1.0.1
Date: 2014-10-07
License: GPL(>= 2)
Author(s)
Nicholas A. James, Arun Kejariwal, David S. Matteson
Maintainer: Nicholas A. James <nj89@cornell.edu>
References
Nicholas A. James, Arun Kejariwal, David S. Matteson, "Leveraging Cloud Data to Mitigate User Experience from 'Breaking Bad': The Twitter Approach, 2014
twitter/BreakoutDetection documentation built on May 3, 2019, 1:51 p.m.
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Description Details Author(s) References
Description
This package performs single and multiple change point analysis of univariate time series. The procedures in this package are designed to be robust to the existence of anomalies/outliers within the time series.
Details
| Package: | BreakoutDetection |
| Type: | Package |
| Version: | 1.0.1 |
| Date: | 2014-10-07 |
| License: | GPL(>= 2) |
Author(s)
Nicholas A. James, Arun Kejariwal, David S. Matteson
Maintainer: Nicholas A. James <nj89@cornell.edu>
References
Nicholas A. James, Arun Kejariwal, David S. Matteson, "Leveraging Cloud Data to Mitigate User Experience from 'Breaking Bad': The Twitter Approach, 2014
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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