Fisch-Alex/anomaly: Detecting Anomalies in Data
Implements Collective And Point Anomaly (CAPA), Multi-Variate Collective And Point Anomaly (MVCAPA), and Proportion Adaptive Segment Selection (PASS) methods for the detection of anomalies in time series data.
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Package details |
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| Maintainer | |
| License | GPL |
| Version | 2.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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