oddnet
0.1.1Anomaly Detection in Temporal Networks
Overview
Anomaly detection in dynamic, temporal networks. The package 'oddnet' uses a feature-based method to identify anomalies. First, it computes many features for each network. Then it models the features using time series methods. Using time series residuals it detects anomalies. This way, the temporal dependencies are accounted for when identifying anomalies (Kandanaarachchi, Hyndman 2022) <arXiv:2210.07407>.
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Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code
Code & tests
Open call graph →Line coverage
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Expression
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Tests / Examples
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Functions
6 3 exported
Complexity
3.5 avg / 6 max
Call network
6 nodes / 4 edges
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People & History
2 releases. Pick two to compare their code metrics; R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.1Latest2024-02-11 · current release
- RR 4.3.0 released · 2023-04-21
- 0.1.02022-12-22
Package metadata
- First published
- 2022-12-22
- Total releases
- 2 / 4 yrs
- License
- GPL (>= 3) OSI
- Download size
- not tracked yet
- Installed size
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- With dependencies
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